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SPIRES-BOOKS: FIND KEYWORD KALMAN FILTERING *END*INIT* use /tmp/qspiwww.webspi1/24647.13 QRY 131.225.70.96 . find keyword kalman filtering ( in books using www Cover
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Call number:1848213662:ONLINE Show nearby items on shelf
Title:Vehicle Dynamics Estimation using Kalman Filtering / Experimental Validation
Author(s): Doumiati
Date:2012
Publisher:Wiley-ISTE
Size:1 online resource (305 p.)
ISBN:9781848213661
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:1118851218:ONLINE Show nearby items on shelf
Title:Kalman Filtering: Theory and Practice Using MATLAB (R), Fourth Edition
Author(s): Grewal
Date:2014
Publisher:Wiley-IEEE Press
Size:1 online resource (641 p.)
ISBN:9781118851210
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471369985:ONLINE Show nearby items on shelf
Title:Kalman Filtering and Neural Networks
Author(s): Haykin
Date:2001
Publisher:Wiley-Interscience
Size:1 online resource (285 p.)
ISBN:9780471369981
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471184071:ONLINE Show nearby items on shelf
Title:Tracking and Kalman Filtering Made Easy (Online Version)
Author(s): Brookner
Date:1998
Publisher:Wiley-Interscience
Size:1 online resource (505 p.)
ISBN:9780471184072
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470529709:ONLINE Show nearby items on shelf
Title:Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook
Author(s): Gibbs
Date:2011
Publisher:Wiley
Size:1 online resource (633 p.)
ISBN:9780470529706
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470173661:ONLINE Show nearby items on shelf
Title:Kalman Filtering: Theory and Practice Using MATLAB, Third Edition
Author(s): Grewal
Date:2008
Publisher:Wiley-IEEE Press
Size:1 online resource (593 p.)
ISBN:9780470173664
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:TL507.P75::2005 Show nearby items on shelf
Title:Fundamentals of Kalman Filtering : A Practical Approach
Author(s): Paul Zarchan
Howard Mufoff
Date:2005
Publisher:American Institute of Aeronautics and Astronautics
Note:2nd ed.
ISBN:1563476940
Series:Progress in Astronautics and Aeronautics vol. 208
Keywords: Kalman Filtering , Control Theory , Aeronautics, Statistical Methods
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Call number:TK7872.F5B76::1998 Show nearby items on shelf
Title:Tracking and Kalman filtering made easy
Author(s): Eli Brookner
Date:1998
Publisher:Wiley
ISBN:0471184071
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Call number:SPRINGER-2016-9783319263892:ONLINE Show nearby items on shelf
Title:First-stage LISA Data Processing and Gravitational Wave Data Analysis Ultraprecise Inter-satellite Laser Ranging, Clock Synchronization and Novel Gravitational Wave Data Analysis Algorithms
Author(s): Yan Wang
Date:2016
Edition:1st ed. 2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-26389-2
Contents:Introduction -- LISA data processing chain -- Applying the Kalman filter to a simple case -- The inter-spacecraft measurements -- Design a hybrid extended Kalman filter for the entire LISA constellation -- Alternative Kalman filter
models -- Broken laser links and robustness -- Optimal filtering for LISA with effective system models -- Clock noise and disordered measurements -- Octahedron configuration for a displacement noise-canceling gravitational wave
detector in space -- EMRI data analysis with a phenomenological waveform -- Fast detection and automatic parameter estimation of a gravitational wave signal with a novel method -- Likelihood transform: making optimization and parameter
estimation easier.
ISBN:9783319263892
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Data mining , Gravitation , Astrophysics , Quantum optics , Lasers , Photonics , Physical measurements , Measurement , Physics , Astrophysics and Astroparticles , Laser Technology, Photonics , Data Mining and Knowledge Discovery , Classical and Quantum Gravitation, Relativity Theory , Measurement Science and Instrumentation , Quantum Optics
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Call number:SPRINGER-2014-9781461487883:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Financial Data in R [electronic resource]
Author(s): Ren Carmona
Date:2014
Edition:2nd ed. 2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This book fills this gap by addressing some of the most challenging issuesfacing any financial engi neer. It shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems. Concerns of risk management are addressed by the control of extreme values, the fittingof distributions with heavy tails, the comput ation of values at risk (VaR), and other measures of risk. Data description techniques such as principal component analysis (PCA), smoothing, and regression are applied to the constructionof yield and forward curve. Nonparametric estimation and nonlinear filtering are used for option pricing and earnings prediction. The book is intended for undergraduate students majoring in financial engineering, or graduate studentsin a Master in finance or MBA program. Because it was designed as a teaching vehicle, it is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the computingenvironment of R. They illustrate problems occurring in the commodity and energy markets, the fixed income markets as well as the equity markets, and even some new emerging markets like the weather markets. The book can helpquantitative analysts by guiding them through the details of statistical model estimation and implementation. It will also be of interest to resea rchers wishing to manipulate financial data, implement abstract concepts, and testmathematical theories, especially by addressing practical issues that are often neglected in the presentation of the theory
Contents:Univariate Data Distributions
Heavy Tail Distributions
Dependence and Multivariate Data Exploration
Parametric Regression
Local and Nonparametric Regression
Time Series Models
Multivariate Time Series, Linear Systems and Kalman Filtering
Nonlinear Time Series: Models and Simulation
Appendices
Indices
ISBN:9781461487883
Series:eBooks
Series:SpringerLink
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2013-9783642328824:ONLINE Show nearby items on shelf
Title:Mathematical Modeling and Validation in Physiology [electronic resource] : Applications to the Cardiovascular and Respiratory Systems
Author(s): Jerry J Batzel
Mostafa Bachar
Franz Kappel
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume synthesizes theoretical and practical aspects of both the mathematical and life scienceviewpoints needed for modeling ofthe cardiovascular-respiratory system specifically andphysiological systems generally.Theoretical points include model design,model complexity and validation in the light of available data, as well as control theory approachesto feedback delayand Kalman filter applications toparameter identification. State ofthe art approaches using parameter sensitivity are discussed fo renhancing modelidentifiability through joint analysis ofmodel structure and data. Practical examples illustratemodel development at various levels of complexitybased on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem ofpatient-specific model adaptation in the clinical setting, where data is typically limited
Note:Springer eBooks
Contents:1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
2 Mathematical Modeling of Physiological Systems
3Parameter Selection Methods in Inverse Problem Formulation
4 Application of the Unscented Kalman Filtering to Parameter Estimation
5 Integrative and Reductionist Approaches to Modeling of Control of Breathing
6 Parameter Identification in a Respiratory Control System Model with Delay
7 Experimental Studies of Respiration and Apnea
8 Model Validation and Control Issues in the Respiratory System
9 Experimental Studies of the Baroreflex
10 De
ISBN:9783642328824
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Mathematics, 0075-8434 : v2064
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Human physiology , Biology Data processing
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Call number:SPRINGER-2012-9781461447382:ONLINE Show nearby items on shelf
Title:Restricted Kalman Filtering [electronic resource] : Theory, Methods, and Application
Author(s): Adrian Pizzinga
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In statistics, the Kalman filter is a mathematical method whose purpose is to use a series of measurements observed over time, containing random variationsand other inaccuracies, and produce estimates that tend to be closer tothe true unknown values than those that would be based on a single measurement alone. This Briefoffers developments on Kalman filtering subject to general linear constraints. There are essentially three types of contributions: newproofs for results already established new result s within the subject and applications in investment analysis and macroeconomics, where the proposed methods are illustrated and evaluated. The Briefhas a short chapter on linearstate space models and the Kalman filter, aiming to make the book self-contain ed and to give a quick reference to the reader (notation and terminology). The prerequisites would be a contact with time series analysis in the level ofHamilton (1994) or Brockwell & Davis (2002) and also with linear state models and the Kalman filter e ach of these books has a chapter entirely dedicated to the subject. The book is intended for graduate students, researchers andpractitioners in statistics (specifically: time series analysis and econometrics)
Note:Springer eBooks
Contents:Introduction
Linear state space models and the Kalman filtering: a briefing
Restricted Kalman filtering: theoretical issues
Restricted Kalman filtering: methodological issues
Applications
Further Extensions
ISBN:9781461447382
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X : v12
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2010-9783034602921:ONLINE Show nearby items on shelf
Title:An Operator Perspective on Signals and Systems [electronic resource]
Author(s): Arthur E Frazho
Wisuwat Bhosri
Date:2010
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Springer eBooks
Contents:Preface
I Basic Operator Theory
1 The Wold Decomposition
2 Toeplitz and Laurent Operators
3 Inner and Outer Functions
4 Rational Inner and Outer Functions
5 The Naimark Representation
6 The Rational Case
II Finite Section Techniques
7 The Levinson Algorithm and Factorization
8 Isometric Representations and Factorization
9 Signal Processing
III Riccati Methods
10 Riccati Equations and Factorization
11 Kalman and Wiener Filtering
IV Interpolation Theory
13 Contractive Nevanlinna
Pick Interpolation
V Appendices
14 A Review of State Space
15
ISBN:9783034602921
Series:e-books
Series:SpringerLink (Online service)
Series:Operator Theory: Advances and Applications, Linear Operators and Linear Systems : v204
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operator theory , Systems theory , Computer science
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Call number:SPRINGER-2009-9783540878490:ONLINE Show nearby items on shelf
Title:Kalman Filtering [electronic resource] : with Real-Time Applications
Author(s): Charles K Chui
Guanrong Chen
Date:2009
Edition:4
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including adirect method consisting o f a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering fortime-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms areillustrated by using simplified radar tracking examples. The style of the bo ok is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with aminimum knowledge of linear algebra, probability theory, and system engineering
Note:Springer eBooks
Contents:Preliminaries
Kalman Filter: An Elementary Approach
Orthogonal Projection and Kalman Filter
Correlated System and Measurement Noise Processes
Colored Noise
Limiting Kalman Filter
Sequential and Square
Root Algorithms
Extended Kalman Filter and System Identification
Decoupling of Filtering Equations
Kalman Filtering for Interval Systems
Wavelet Kalman Filtering
Notes
ISBN:9783540878490
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Electronic data processing , Mathematical physics , Engineering mathematics , Telecommunication , Economics
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Call number:SPRINGER-2007-9783764375492:ONLINE Show nearby items on shelf
Title:Introduction to Mathematical Systems Theory [electronic resource] : Linear Systems, Identification and Control
Author(s): Christiaan Heij
Andr Ran
Freek Schagen
Date:2007
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the mostrelevant in business applic ations, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability,observability, realization theory, stability and stabilizati on by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and modelspecification, along with model validation
Note:Springer eBooks
Contents:Preface
Dynamical Systems
Input
Output
Systems
State Space Models
Stability
Optimal Control
Stochastic Systems
Filtering and Prediction
Stochastic Control
System Identification
Cycles and Trends
Bibliography
Index
ISBN:9783764375492
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Systems theory , Computer science , Distribution (Probability theory)
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Call number:SPRINGER-2004-9780387218243:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Financial Data in S-Plus
Author(s): René A Carmona
Date:2004
Size:1 online resource (455 p.)
Note:10.1007/b97626
Contents:Data Exploration, Estimation and Simulation -- Univariate Exploratory Data Analysis -- Multivariate Data Exploration -- Regression -- Parametric Regression -- Local & Nonparametric Regression -- Time Series & State Space Models --
Time Series Models: AR, MA, ARMA, & All That -- Multivariate Time Series, Linear Systems and Kalman Filtering -- Nonlinear Time Series: Models and Simulation
ISBN:9780387218243
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business , Business mathematics , Economics, Mathematical , Actuarial science , Computer mathematics , Statistics , Business and Management , Business Mathematics , Actuarial Sciences , Computational Mathematics and Numerical Analysis , Statistics for Business/Economics/Mathematical Finance/Insurance , Quantitative Finance
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Call number:SPRINGER-2004-9780387217796:ONLINE Show nearby items on shelf
Title:An Invitation to 3-D Vision From Images to Geometric Models
Author(s): Yi Ma
Date:2004
Size:1 online resource (528 p.)
Note:10.1007/978-0-387-21779-6
Contents:1 Introduction -- 1.1 Visual perception from 2-D images to 3-D models -- 1.2 A mathematical approach -- 1.3 A historical perspective -- I Introductory Material -- 2 Representation of a Three-Dimensional Moving Scene -- 3 Image
Formation -- 4 Image Primitives and Correspondence -- II Geometry of Two Views -- 5 Reconstruction from Two Calibrated Views -- 6 Reconstruction from Two Uncalibrated Views -- 7 Estimation of Multiple Motions from Two Views -- III
Geometry of Multiple Views -- 8 Multiple-View Geometry of Points and Lines -- 9 Extension to General Incidence Relations -- 10 Geometry and Reconstruction from Symmetry -- IV Applications -- 11 Step-by-Step Building of a 3-D Model from
Images -- 12 Visual Feedback -- V Appendices -- A Basic Facts from Linear Algebra -- A.1 Basic notions associated with a linear space -- A.1.1 Linear independence and change of basis -- A.1.2 Inner product and orthogonality -- A.1.3
Kronecker product and stack of matrices -- A.2 Linear transformations and matrix groups -- A.3 Gram-Schmidt and the QR decomposition -- A.4 Range, null space (kernel), rank and eigenvectors of a matrix -- A.5 Symmetric matrices and
skew-symmetric matrices -- A.6 Lyapunov map and Lyapunov equation -- A.7 The singular value decomposition (SVD) -- A.7.1 Algebraic derivation -- A.7.2 Geometric interpretation -- A.7.3 Some properties of the SVD -- B Least-Variance
Estimation and Filtering -- B.1 Least-variance estimators of random vectors -- B.1.1 Projections onto the range of a random vector -- B.1.2 Solution for the linear (scalar) estimator -- B.1.3 Affine least-variance estimator -- B.1.4
Properties and interpretations of the least-variance estimator -- B.2 The Kalman-Bucy filter -- B.2.1 Linear Gaussian dynamical models -- B.2.2 A little intuition -- B.2.3 Observability -- B.2.4 Derivation of the Kalman filter -- B.3
The extended Kalman filter -- C Basic Facts from Nonlinear Optimization -- C.1 Unconstrained optimization: gradient-based methods -- C.1.1 Optimality conditions -- C.1.2 Algorithms -- C.2 Constrained optimization: Lagrange multiplier
method. -- C.2.1 Optimality conditions -- C.2.2 Algorithms -- References -- Glossary of Notation
ISBN:9780387217796
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Interdisciplinary Applied Mathematics: 26
Keywords: Computer science , Computers , Computer graphics , Applied mathematics , Engineering mathematics , Geometry , Calculus of variations , Control engineering , Robotics , Mechatronics , Computer Science , Theory of Computation , Calculus of Variations and Optimal Control Optimization , Geometry , Applications of Mathematics , Computer Imaging, Vision, Pattern Recognition and Graphics , Control, Robotics, Mechatronics
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Call number:SPRINGER-2000-9783642602320:ONLINE Show nearby items on shelf
Title:XploRe — Learning Guide
Author(s): Wolfgang Härdle
Date:2000
Size:1 online resource (526 p.)
Note:10.1007/978-3-642-60232-0
Contents:I: First Steps -- 1 Getting Started -- 2. Descriptive Statistics -- 3 Graphics -- 4 Regression Methods -- 5 Teachware Quantlets -- II: Statistical Libraries -- 6 Smoothing Methods -- 7 Generalized Linear Models -- 8 Neural Networks --
9 Time Series -- 10 Kalman Filtering -- 11 Finance -- 12 Microeconometrics and Panel Data -- 13 Extreme Value Analysis -- 14 Wavelets -- III: Programming -- 15 Reading and Writing Data -- 16 Matrix Handling -- 17 Quantlets and
Quantlibs
ISBN:9783642602320
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2000-9783642572920:ONLINE Show nearby items on shelf
Title:XploRe® — Application Guide
Author(s): Wolfgang Härdle
Date:2000
Size:1 online resource (525 p.)
Note:10.1007/978-3-642-57292-0
Contents:I Regression Models -- 1 Quantile Regression -- 2 Least Trimmed Squares -- 3 Errors-in-Variables Models -- 4 Simultaneuos-Equations Models -- 5 Hazard Regression -- 6 Generalized Partial Linear Models -- 7 Generalized Additive Models
-- II Data Exploration -- 8 Growth Regression and Counterfactual Income Dynamics -- 9 Cluster Analysis -- 10 Classification and Regression Trees -- 11 DPLS: Partial Least Squares Program -- 12 Uncovered Interest Parity -- 13
Correspondence Analysis -- III Dynamic Statistical Systems -- 14 Long-Memory Analysis -- 15 ExploRing Persistence in Financial Time Series -- 16 Flexible Time Series Analysis -- 17 Multiple Time Series Analysis -- 18 Robust Kalman
Filtering
ISBN:9783642572920
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Finance , Economic theory , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics and Computing/Statistics Programs , Economic Theory/Quantitative Economics/Mathematical Methods , Finance, general
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Call number:SPRINGER-2000-9783642570162:ONLINE Show nearby items on shelf
Title:Spectral Analysis and Filter Theory in Applied Geophysics
Author(s): Burkhard Buttkus
Date:2000
Size:1 online resource (667 p.)
Note:10.1007/978-3-642-57016-2
Contents:I Spectral Analysis of Deterministic Processes -- 1 Fourier Series Representation of Periodic Functions -- 2 Spectral Representation of Nonperiodic Processes -- 3 The Dirac Delta Function and its Fourier Transform -- 4 Spectral
Analysis of Time-Limited Observations of Infinitely Long Processes -- 5 Spectral Analysis of Discrete Functions -- 6 z-Transform Representation of Time Series -- 7 Examples of the Use of the Fourier Transform in Applied Seismics -- II
Spectral Analysis of Random Processes -- 8 Characterization of Random Processes in the Time and Frequency Domains -- 9 Estimation of the Power Spectral Density Function -- 10 Evaluation of Magnetotelluric Survey Data -- III Spectral
Analysis of Random Processes by Model Fitting -- 11 Spectral Estimation by Model Fitting -- 12 Estimating Power Spectra using Criteria from Information Theory -- IV Fundamentals of Filter Theory -- 13 Filtering from the Viewpoint of
System Theory -- 14 Filtering in the Frequency Domain -- V Digital Filtering -- 15 Basics of Digital Filtering -- 16 Filtering using Simple Mathematical Operations -- 17 Designing Nonrecursive Digital Filters of Finite Length -- 18
Synthesis of Recursive Digital Filters -- VI Fundamentals of Optimum Filtering -- 19 Designing Analog and Digital Optimum Filters -- 20 Application of Optimum Filters to Reflection Seismic Data -- 21 Kalman Filters -- VII Fundamentals
of Deconvolution and their Application to Reflection Seismic Data -- 22 Mathematical Basis of Deconvolution -- 23 Deconvolution: Problems and Approaches in Reflection Seismics -- VIII Multidimensional and Multichannel Filters -- 24
Multidimensional Filters -- 25 Two-Dimensional Filters for Gravity and Magnetic Data -- 26 Multichannel Filtering of Seismic Data -- Author Index
ISBN:9783642570162
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Geology , Geophysics , Functional analysis , Observations, Astronomical , Astronomy , Astrophysics , Physics , Geophysics and Environmental Physics , Geology , Functional Analysis , Geophysics/Geodesy , Astronomy, Observations and Techniques , Astrophysics and Astroparticles
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Call number:SPRINGER-1999-9783662038598:ONLINE Show nearby items on shelf
Title:Kalman Filtering with Real-Time Applications
Author(s): Charles K Chui
Date:1999
Edition:Third Edition
Size:1 online resource (230 p.)
Note:10.1007/978-3-662-03859-8
Contents:1. Preliminaries -- 2. Kalman Filter: An Elementary Approach -- 3. Orthogonal Projection and Kalman Filter -- 4. Correlated System and Measurement Noise Processes -- 5. Colored Noise -- 6. Limiting Kalman Filter -- 7. Sequential and
Square-Root Algorithms -- 8. Extended Kalman Filter and System Identification -- 9. Decoupling of Filtering Equations -- 10. Kalman Filtering for Interval Systems -- 11. Wavelet Kalman Filtering -- 12. Notes -- References -- Answers
and Hints to Exercises
ISBN:9783662038598
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 17
Keywords: Physics , Computers , Applied mathematics , Engineering mathematics , Electrical engineering , Economic theory , Physics , Mathematical Methods in Physics , Numerical and Computational Physics , Economic Theory/Quantitative Economics/Mathematical Methods , Appl.Mathematics/Computational Methods of Engineering , Communications Engineering, Networks , Computing Methodologies
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Call number:SPRINGER-1998-9789401153225:ONLINE Show nearby items on shelf
Title:Estimators for Uncertain Dynamic Systems
Author(s): A. I Matasov
Date:1998
Size:1 online resource (420 p.)
Note:10.1007/978-94-011-5322-5
Contents:1. Guaranteed Parameter Estimation -- 1. Simplest Guaranteed Estimation Problem -- 2. Continuous Measurement Case -- 3. Linear Programming -- 4. Necessary and Sufficient Conditions for Optimality -- 5. Dual Problem and Chebyshev
Approximation -- 6. Combined Model for Measurement Noise -- 7. Least-Squares Method in Guaranteed Parameter Estimation -- 8. Guaranteed Estimation with Anomalous Measurement Errors -- 9. Comments to Chapter 1 -- 10. Excercises to
Chapter 1 -- 2. Guaranteed Estimation in Dynamic Systems -- 1. Lagrange Principle and Duality -- 2. Uncertain Deterministic Disturbances -- 3. Conditions for Optimality of Estimator -- 4. Computation of Estimators -- 5. Optimality of
Linear Estimators -- 6. Phase Constraints in Guaranteed Estimation Problem -- 7. Comments to Chapter 2 -- 8. Excercises to Chapter 2 -- 3. Kalman Filter in Guaranteed Estimation Problem -- 1. Level of Nonoptimality for Kaiman Filter --
2. Bound for the Level of Nonoptimality -- 3. Derivation of Main Result -- 4. Kaiman Filter with Discrete Measurements -- 5. Proofs for the Case of Discrete Measurements -- 6. Examples for the Bounds of Nonoptimality Levels -- 7.
Comments to Chapter 3 -- 8. Excercises to Chapter 3 -- 4. Stochastic Guaranteed Estimation Problem -- 1. Optimal Stochastic Guaranteed Estimation Problem -- 2. Approximating Problem. Bound for the Level of Nonoptimality -- 3.
Derivation of Main Result for Stochastic Problem -- 4. Discrete Measurements in Stochastic Estimation Problem -- 5. Examples for Stochastic Problems -- 6. Kaiman Filter under Uncertainty in Intensities of Noises -- 7. Comments to
Chapter 4 -- 8. Excercises to Chapter 4 -- 5. Estimation Problems in Systems with Aftereffect -- 1. Pseudo-Fundamental Matrix and Cauchy Formula -- 2. Guaranteed Estimation in Dynamic Systems with Delay -- 3. Level of Nonoptimality in
Stochastic Problem -- 4. Simplified Algorithms for Mean-Square Filtering Problem -- 5. Control Algorithms for Systems with Aftereffect -- 6. Reduced Algorithms for Systems with Weakly Connected Blocks -- 7. Comments to Chapter 5 -- 8.
Excercises to Chapter 5
ISBN:9789401153225
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics and Its Applications : 458
Keywords: Engineering , System theory , Calculus of variations , Mechanical engineering , Electrical engineering , Engineering , Electrical Engineering , Systems Theory, Control , Mechanical Engineering , Calculus of Variations and Optimal Control Optimization
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Call number:SPRINGER-1996-9781461224600:ONLINE Show nearby items on shelf
Title:Sampling in Digital Signal Processing and Control
Author(s): Arie Feuer
Date:1996
Size:1 online resource (544 p.)
Note:10.1007/978-1-4612-2460-0
Contents:1 Fourier Analysis -- 1.1 Introduction -- 1.2 The Basic Transforms -- 1.3 Properties of Continuous-Time Fourier Transforms -- 1.4 Properties of Discrete-Time Fourier Transforms -- 1.5 The ? — Impulse Stream -- 1.6 Inter-relating the
Various Transforms -- 1.7 Special Topics -- 1.8 Further Reading and Discussion -- 1.9 Problems -- 2 Sampling and Reconstruction -- 2.1 Introduction -- 2.2 Sampled Data Sequences — A Representation of Continuous Signals -- 2.3
Continuous Signal Reconstruction from a Sampled Data Sequence -- 2.4 Shannon’ s Reconstruction Theorem -- 2.5 Practical Methods of Reconstruction -- 2.6 Signal Reconstruction from Periodic Samples -- 2.7 Further Reading and Discussion
-- 2.8 Problems -- 3 Analysis of Discrete-Time Systems -- 3.1 Introduction -- 3.2 Shift Operator Models -- 3.3 z-Transforms -- 3.4 The Delta Operator -- 3.5 Difference Equations in Delta Operator Form -- 3.6 Discrete Delta Transform --
3.7 Use of Discrete Delta Transforms to Solve Difference Equations -- 3.8 The Discrete Transfer Function -- 3.9 Summary of Delta Transform Properties -- 3.10 Stability of Discrete Systems -- 3.11 Discrete Frequency Response -- 3.12
Frequency Domain Stability Criteria for Discrete-Time Systems -- 3.13 Digital Filter Implementation -- 3.14 Further Reading and Discussion -- 3.15 Problems -- 4 Discrete-Time Models of Continuous Deterministic Systems -- 4.1
Introduction -- 4.2 State-Space Development -- 4.3 Transform Development -- 4.4 Continuous-Time and Discrete-Time Poles and Zeros -- 4.5 Numerical Issues -- 4.6 Frequency Domain Development -- 4.7 Further Reading and Discussion -- 4.8
Problems -- 5 Optimal Linear Estimation with Finite Impulse Response Filters -- 5.1 Introduction -- 5.2 Problem Description -- 5.3 Sampled Model -- 5.4 The Discrete Lattice Filter -- 5.5 Continuous-Time Lattice Structure -- 5.6
Relationships between the Discrete and Continuous Lattice Filters -- 5.7 Further Reading and Discussion -- 5.8 Problems -- 6 Optimal Linear Estimation with State-Space Filters -- 6.1 Introduction -- 6.2 Signal Model -- 6.3 The Sampling
Process -- 6.4 Discrete Stochastic Model -- 6.5 The Discrete Kalman Filter -- 6.6 Continuous-Time State Estimation -- 6.7 Further Reading and Discussion -- 6.8 Problems -- 7 Periodic and Multirate Filtering -- 7.1 Introduction -- 7.2
Models for Periodic Linear Systems -- 7.3 The Raising Procedure -- 7.4 Frequency Domain Analysis of Periodic Filters -- 7.5 Models for Sampled Periodic Stochastic Systems -- 7.6 Periodic Optimal Filtering -- 7.7 Further Reading and
Discussion -- 7.8 Problems -- 8 Discrete-Time Control -- 8.1 Introduction -- 8.2 Closed-Loop Stability and Pole Assignment -- 8.3 Some Special Discrete-Time Control Laws -- 8.4 Sensitivity and Complementary Sensitivity Functions -- 8.5
All Stabilizing Control Laws -- 8.6 State Estimate Feedback -- 8.7 Rapprochement Between State Estimate Feedback and Stabilizing Controllers -- 8.8 Linear Quadratic Optimal Regulator -- 8.9 Duality Relationships -- 8.10 Further Reading
and Discussion -- 8.11 Problems -- 9 Sampled Data Control -- 9.1 Introduction -- 9.2 Mixing Continuous and Discrete Transfer Functions -- 9.3 Sensitivity Considerations -- 9.4 Modified Discrete Transforms -- 9.5 Examples -- 9.6
Observations and Comments from the Examples -- 9.7 The Class of All Stabilizing Sampled-Data Controllers -- 9.8 Linear Quadratic Design of Sampled-Data Controllers -- 9.9 Duality Relationships for Hybrid Optimal Controller -- 9.10
Further Reading and Discussion -- 9.11 Problems -- 10 Generalized Sample-Hold Functions -- 10.1 Introduction -- 10.2 Generalized Sample-Hold Function: A Time Domain Perspective -- 10.3 Other Applications of Generalized Sample-Hold
Functions -- 10.4 Frequency Domain Analysis of GSHF -- 10.5 Sensitivity Considerations -- 10.6 Further Reading and Discussion -- 10.7 Problems -- 11 Periodic Control of Linear Time-Invariant Systems -- 11.1 Introduction -- 11.2
Periodic Control of Linear Time-Invariant Systems -- 11.3 Time Domain Analysis -- 11.4 Frequency Domain Analysis -- 11.5 Further Reading and Discussion -- 11.6 Problems -- 12 Multirate Control -- 12.1 Introduction -- 12.2 A Unifying
Approach -- 12.3 Slow Output Sampling, Fast Input Sampling -- 12.4 Fast Output Sampling, Slow Input Sampling -- 12.5 Further Reading and Discussion -- 12.6 Problems -- 13 Optimal Control of Periodic Systems -- 13.1 Introduction -- 13.2
Control of Linear Periodic Systems -- 13.3 Control based on State Estimate Feedback -- 13.4 Further Reading and Discussion -- 13.5 Problems
ISBN:9781461224600
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Engineering , Mathematics , Computer mathematics , Engineering , Signal, Image and Speech Processing , Mathematics, general , Computational Mathematics and Numerical Analysis
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Call number:SPRINGER-1996-9781461207610:ONLINE Show nearby items on shelf
Title:Smoothness Priors Analysis of Time Series
Author(s): Genshiro Kitagawa
Date:1996
Size:1 online resource (280 p.)
Note:10.1007/978-1-4612-0761-0
Contents:1 Introduction -- 1.1 Background -- 1.2 What is in the Book -- 1.3 Time Series Examples -- 2 Modeling Concepts and Methods -- 2.1 Akaike’s AIC: Evaluating Parametric Models -- 2.2 Least Squares Regression by Householder Transformation
-- 2.3 Maximum Likelihood Estimation and an Optimization Algorithm -- 2.4 State Space Methods -- 3 The Smoothness Priors Concept -- 3.1 Introduction -- 3.2 Background, History and Related Work -- 3.3 Smoothness Priors Bayesian Modeling
-- 4 Scalar Least Squares Modeling -- 4.1 Estimating a Trend -- 4.2 The Long AR Model -- 4.3 Transfer Function Estimation -- 5 Linear Gaussian State Space Modeling -- 5.1 Introduction -- 5.2 Standard State Space Modeling -- 5.3 Some
State Space Models -- 5.4 Modeling With Missing Observations -- 5.5 Unequally Spaced Observations -- 5.6 An Information Square-Root Filter/Smoother -- 6 Contents General State Space Modeling -- 6.1 Introduction -- 6.2 The General State
Space Model -- 6.3 Numerical Synthesis of the Algorithms -- 6.4 The Gaussian Sum-Two Filter Formula Approximation -- 6.5 A Monte Carlo Filtering and Smoothing Method -- 6.6 A Derivation of the Kalman filter -- 7 Applications of Linear
Gaussian State Space Modeling -- 7.1 AR Time Series Modeling -- 7.2 Kullback-Leibler Computations -- 7.3 Smoothing Unequally Spaced Data -- 7.4 A Signal Extraction Problem -- 8 Modeling Trends -- 8.1 State Space Trend Models -- 8.2
State Space Estimation of Smooth Trend -- 8.3 Multiple Time Series Modeling: The Common Trend Plus Individual Component AR Model -- 8.4 Modeling Trends with Discontinuities -- 9 Seasonal Adjustment -- 9.1 Introduction -- 9.2 A State
Space Seasonal Adjustment Model -- 9.3 Smooth Seasonal Adjustment Examples -- 9.4 Non-Gaussian Seasonal Adjustment -- 9.5 Modeling Outliers -- 9.6 Legends -- 10 Estimation of Time Varying Variance -- 10.1 Introduction and Background --
10.2 Modeling Time-Varying Variance -- 10.3 The Seismic Data -- 10.4 Smoothing the Periodogram -- 10.5 The Maximum Daily Temperature Data -- 11 Modeling Scalar Nonstationary Covariance Time Series -- 11.1 Introduction -- 11.2 A Time
Varying AR Coefficient Model -- 11.3 A State Space Model -- 11.4 PARCOR Time Varying AR Modeling -- 11.5 Examples -- 12 Modeling Multivariate Nonstationary Covariance Time Series -- 12.1 Introduction -- 12.2 The Instantaneous
Response-Orthogonal Innovations Model -- 12.3 State Space Modeling -- 12.4 Time Varying PARCOR VAR Modeling -- 12.5 Examples -- 13 Modeling Inhomogeneous Discrete Processes -- 13.1 Nonstationary Discrete Process -- 13.2 Nonstationary
Binary Processes -- 13.3 Nonstationary Poisson Process -- 14 Quasi-Periodic Process Modeling -- 14.1 The Quasi-periodic Model -- 14.2 The Wolfer Sunspot Data -- 14.3 The Canadian Lynx Data -- 14.4 Other Examples -- 14.5 Predictive
Properties of Quasi-periodic Process Modeling -- 15 Nonlinear Smoothing -- 15.1 Introduction -- 15.2 State Estimation -- 15.3 A One Dimensional Problem -- 15.4 A Two Dimensional Problem -- 16 Other Applications -- 16.1 A Large Scale
Decomposition Problem -- 16.2 Markov State Classification -- 16.3 SPVAR Modeling for Spectrum Estimation -- References -- Author Index
ISBN:9781461207610
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Statistics: 116
Keywords: Statistics , Mathematical analysis , Analysis (Mathematics) , Statistics , Statistics, general , Analysis
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Call number:SPRINGER-1994-9781461383833:ONLINE Show nearby items on shelf
Title:Mathematics in Industrial Problems Part 6
Author(s): Avner Friedman
Date:1994
Size:1 online resource (229 p.)
Note:10.1007/978-1-4613-8383-3
Contents:1 Magnetization reversal in particulate recording media -- 1.1 The physical system -- 1.2 The model -- 1.3 Results and open problems -- 1.4 References -- 2 Variable forgetting factors in Kalman filtering -- 2.1 The dynamic Kalman
filtering -- 2.2 Variable forgetting factor -- 2.3 Modification of VFF -- 2.4 Applications -- 2.5 References -- 3 Modeling of dopant diffusion networks -- 3.1 Diffusion on networks -- 3.2 Random walks -- 3.3 Effects of grains’
boundaries -- 3.4 Solution of Problems -- 3.5 References -- 4 Statistical optics and effective medium theories of color -- 4.1 Color -- 4.2 Calculating reflectivity -- 4.3 Effective medium theory (EMT) -- 4.4 Mathematical problems --
4.5 References -- 5 Amorphous and polysilicon devices -- 5.1 Amorphous semiconductors -- 5.2 A mathematical model -- 5.3 Numerical results -- 5.4 Open problems and partial solution -- 5.5 References -- 6 Modeling the performance of a
piezoelectric gyroscope -- 6.1 Vibrating gyroscope -- 6.2 Linear elasticity -- 6.3 Rotating disk -- 6.4 Rotating piezoelectric disk -- 6.5 Approximate solution -- 6.6 References -- 7 Particle simulations for xerographic development --
7.1 The model -- 7.2 More on the particle motion -- 7.3 Open problems -- 7.4 References -- 8 A statistical dynamic theory of glassy polymers -- 8.1 Glassy state -- 8.2 Viscoelastic relaxation -- 8.3 Strain-stress behavior -- 8.4
Composite modulus -- 8.5 Open problems -- 8.6 References -- 9 Simulation of magnetic recording and playback processes -- 9.1 Magnetic tape and the recording process -- 9.2 Model of the record process -- 9.3 Record model implementation
-- 9.4 The playback process -- 9.5 Open issues -- 9.6 References -- 10 Sunglitter in oceanic remote detection -- 10.1 Background noise -- 10.2 Signal processing -- 10.3 The model -- 10.4 Model/data comparison -- 11 Computer simulations
of electrorheological fluids -- 11.1 Modeling ER fluids -- 11.2 Bulk polarization model -- 11.3 Numerical results -- 11.4 Optical probing -- 11.5 Areas for future work -- 11.6 References -- 12 Local flaws in permeation reducing barrier
layers -- 12.1 Fluorinated fuel tanks -- 12.2 Mathematical model -- 12.3 Results for circular holes -- 12.4 Open problems -- 12.5 Partial results -- 12.6 References -- 13 Iterative solution methods on the Cray YMP/C90 -- 13.1 Iterative
schemes -- 13.2 Preconditioning strategies -- 13.3 Computational results -- 13.4 References -- 14 Track reconstruction and data fusion -- 14.1 Data fusion -- 14.2 Data sources and model selection -- 14.3 Extended Kalman filter and
smoothing -- 14.4 References -- 15 Approximation to Boltzmann transport in semiconductor devices -- 15.1 The Boltzmann transport equation -- 15.2 Approximation to B.T.E. -- 15.3 The f0-equation -- 15.4 References -- 16 Systematic data
fusion using the theory of random conditional sets -- 16.1 Data fusion algorithms -- 16.2 Bayesian classification -- 16.3 The Dempster—Shafer approach -- 16.4 Fuzzy logic -- 16.5 Random sets -- 16.6 Conditional set theory -- 16.7
References -- 17 Micromagnetic simulation -- 17.1 The magnetic head -- 17.2 The magnetic energy in film -- 17.3 The pole tip -- 17.4 Swirl points -- 17.5 References -- 18 Dissolution kinetics with feedback -- 18.1 The model -- 18.2
Fast kinetic limit -- 18.3 Numerical solution -- 18.4 Remarks -- 18.5 References -- 19 Wetting and adsorption at chemically heterogeneous surfaces -- 19.1 Wettability -- 19.2 Wettability on self-assembled monolayers -- 19.3
Mathematical model -- 19.4 References -- 20 Fluid and kinetic modeling for micromechanical structures -- 20.1 Modeling micromechanical structures -- 20.2 Fluid description -- 20.3 Accelerometer -- 20.4 References -- 21 Modeling
exhaust-gas oxygen sensors -- 21.1 The sensor -- 21.2 Mathematical model -- 21.3 Open problems -- 21.4 References -- 22 3D modeling of a smart power device -- 22.1 The device -- 22.2 Thermal modeling -- 22.3 Solution to problem (1) --
23 Solutions to problems from previous parts -- 23.1 Part 1 -- 23.2 Part 3 -- 23.3 Part 5 -- 23.4 References
ISBN:9781461383833
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:The IMA Volumes in Mathematics and its Applications: 57
Keywords: Engineering , Mathematical models , Engineering , Engineering, general , Mathematical Modeling and Industrial Mathematics
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Call number:SPRINGER-1993-9783642524394:ONLINE Show nearby items on shelf
Title:Inverse Problems in Engineering Mechanics IUTAM Symposium Tokyo, 1992
Author(s):
Date:1993
Size:1 online resource (564 p.)
Note:10.1007/978-3-642-52439-4
Contents:List of Contents -- 1 Mathematical Aspects -- On Regularization Methods within System Identification -- New Approaches to the Optimal Regularization -- A Method for Solving Inverse Boundary-Value Problems Using Symbolic Computation --
An Application of the Fuzzy Control for an Ill-posed Problem -- Inverse Filtering for Reverberant Transfer Functions -- 2 Computational Aspects -- Classification of Inverse Problems Arising in Field Problems and Their Treatments -- A
Physically Based Method of Experimental Data-Concepts, Formulation and Application to Identification of Residual Stresses -- Inverse Problems for Vibrating Systems in Two and Three Dimensions -- Inverse Spectrum Problems for Block
Jacobi Matrix -- Parametric Correction of Finite Element Models Using Modal Tests -- Structural Defect Synthesis Using Noise-Frequency Response Characteristics for Coupled Acoustic-Structural System by Fuzzy Inference Method -- Inverse
Problem Solution in Non-destructive Pavement Diagnostics -Computational Aspects -- Inverse Formulation for Incompressible Viscous Two-Dimensional and Axisymmetric Flow Problems -- 3 Parameter Identification -- Requirements for the
Structure of Analytical Models Used for Parameter Identification -- Inverse Problem in Mechanics of Structures: a New Approach Based on Displacement Field Processing -- New Method for Determining Contact Pressure Disributions by Using
Caustic Images -- Estimation of Impact Force by an Inverse Analysis -- Optimality of Internal Structure and Identification of Unknown Load -- 4 Shape Determination and Optimization -- Shape Identification Using Acoustic Measurements: A
Numerical Investigation Using BIE and Shape Differentiation -- Shape Determination of a Scattering Obstacles by Eigenfunction Expansion Embedding Integral Method -- Indentification of Crack Shape Hidden in Solid by Means of Neural
Network and Computational Mechanics -- Approximate Recovery and Redesign of a Curved Surface Based on a Flattened Form -- Optimum Design of a Sound-Insulating Wall by the Boundary Element Method -- Optimal Design of Cooling Lines of
Injection Mold Based on Boundary Element Design Sensitivity Analysis -- Efficient Shape Optimization Technique Based on Boundary Element Method -- 5 Material Property Characterization -- Inversion of Surface Acoustic Wave Data to
Determine the Elastic Constants of Nitride Films -- Inversion of Source, Material, and Defect Characteristics Using Guided Waves -- Inverse Problems Associated with Nondestructive Evaluation of Plasic Damages in Solids --
Identification Aspects of Inhomogeneous Materials -- A Parameter Identification Procedure as a Dual Boundary Control Concept for Wave-Propagation Problem -- Identification of Dynamic in Situ Soil Properties at Existing Structure Site
-- Characterization of the Damping Effect of a Vibrating System -- Identification of Parameters in Geomechanics Using a Maximum Likelihood Approach -- Identification Analysis of Distributed-Parameter Systems by Using Kalman
Filter-Boundary Element Method -- 6 Elastodynamic Inverse Problems -- Inverse Scattering for Flaw Type Classification -- Shape Inversion from Phase Shifts -- Determination of Shapes, Sizes and Material Compositions of Large Inclusions
in Elastic Media from Scattered Waves -- Estimation of Unknown Boundary Values by Inverse Analysis with Elastodynamic Boundary Element Method -- Source Inversion of High-Frequency Strong Motion Records in the Near-Source Region --
Optimum Strong-Motion Station-Array Geometry for Earthquake Source Studies -- 7 Ultrasonic Nondestructive Evaluation -- Neural Network Approach to the Inverse Problem of Crack- Depth Determination from Ultrasonic Backscattering Data --
Simulation of Directivity Synthesis for Ultrasonic Transducers -- Inversion Using Multi-Tip Echoes of Elastic Waves -- Surface Reconstruction of a Three-Dimensional Ultrasonic Flaw -- Generalized Ray Theory and Its Application to
Long-Distance Ultrasonic Testing -- A New Approach to Ultrasonic Image Reconstruction -- 8 Thermal Inverse Problems -- Identification of Heat Conduction Coefficient: Application to Nondestructive Testing -- Determination of Void
Shapes, Sizes, Numbers and Locations Inside an Object with Known Surface Temperatures and Heat Fluxes -- Determination of Time Dependence of Temperature in the Inner Surface of a Cylinder by Measured Informations on the Outer Surface
-- Transfer Function Approach for Solving Inverse Heat Conduction Problems in Piping Using Experimental Data -- A Method for Disbond Detection in Thermal Tomography by Domain Decomposition Method -- 9 Other Engineering Applications --
Inverse Problem Approach Based on the Kalman Filtering and Its Applications -- The Thin Shell Approach for Some 3D Engineering Inverse Problems -- Inverse Analysis for Estimating Galvanic Corrosion Rate -- Estimation of an Electric
Orbit Using Super-Potentials of Lienard-Wiechert Potentials
ISBN:9783642524394
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Engineering , Applied mathematics , Engineering mathematics , Mechanics , Mechanics, Applied , Engineering , Theoretical and Applied Mechanics , Appl.Mathematics/Computational Methods of Engineering
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Call number:SPRINGER-1993-9781468401981:ONLINE Show nearby items on shelf
Title:Elements of Multivariate Time Series Analysis
Author(s): Gregory C Reinsel
Date:1993
Size:1 online resource (263 p.)
Note:10.1007/978-1-4684-0198-1
Contents:1. Vector Time Series and Model Representations -- 1.1 Stationary Multivariate Time Series and Their Properties -- 1.2 Linear Model Representations for a Stationary Vector Process -- A1 Appendix: Review of Multivariate Normal
Distribution and Related Topics -- 2. Vector ARMA Time Series Models and Forecasting -- 2.1 Vector Moving Average Models -- 2.2 Vector Autoregressive Models -- 2.3 Vector Mixed Autoregressive Moving Average Models -- 2.4 Nonstationary
Vector ARMA Models -- 2.5 Prediction for Vector ARMA Models -- 3. Canonical Structure of Vector ARMA Models -- 3.1 Consideration of Kronecker Structure for Vector ARMA Models -- 3.2 Canonical Correlation Structure for ARMA Time Series
-- 3.3 Partial Autoregressive and Partial Correlation Matrices -- 4. Initial Model Building and Least Squares Estimation for Vector AR Models -- 4.1 Sample Cross-Covariance and Correlation Matrices and Their Properties -- 4.2 Sample
Partial AR and Partial Correlation Matrices and Their Properties -- 4.3 Conditional Least Squares Estimation of Vector AR Models -- 4.4 Relation of LSE to Yule-Walker Estimate for Vector AR Models -- 4.5 Additional Techniques for
Specification of Vector ARMA Models -- A4 Appendix: Review of the General Multivariate Linear Regression Model -- 5. Maximum Likelihood Estimation and Model Checking for Vector ARMA Models -- 5.1 Conditional Maximum Likelihood
Estimation for Vector ARMA Models -- 5.2 ML Estimation and LR Testing of ARMA Models Under Linear Restrictions -- 5.3 Exact Likelihood Function for Vector ARMA Models -- 5.4 Innovations Form of the Exact Likelihood Function for ARMA
Models -- 5.5 Overall Checking for Model Adequacy -- 5.6 Effects of Parameter Estimation Errors on Prediction Properties -- 5.7 Numerical Examples -- 6. Reduced-Rank and Nonstationary Co-Integrated Models -- 6.1 Nested Reduced-Rank AR
Models and Partial Canonical Correlation Analysis -- 6.2 Review of Estimation and Testing for Nonstationarity (Unit Roots) in Univariate ARIMA Models -- 6.3 Nonstationary (Unit-Root) Multivariate AR Models, Estimation, and Testing --
6.4 Multiplicative Seasonal Vector ARMA Models -- 7. State-Space Models, Kalman Filtering, and Related Topics -- 7.1 State-Variable Models and Kalman Filtering -- 7.2 State-Variable Representations of the Vector ARMA Model -- 7.3 Exact
Likelihood Estimation for Vector ARMA Processes with Missing Values -- 7.4 Classical Approach to Smoothing and Filtering of Time Series -- Appendix: Time Series Data Sets -- Exercises and Problems -- References
ISBN:9781468401981
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Chemometrics , Biomathematics , Computational intelligence , Economic theory , Statistics , Statistics, general , Economic Theory/Quantitative Economics/Mathematical Methods , Mathematical and Computational Biology , Math. Applications in Chemistry , Computational Intelligence , Physiological, Cellular and Medical Topics
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Call number:SPRINGER-1992-9781475722048:ONLINE Show nearby items on shelf
Title:Systems, Models and Feedback: Theory and Applications Proceedings of a U.S.-Italy Workshop in honor of Professor Antonio Ruberti, Capri, 15–17, June 1992
Author(s):
Date:1992
Size:1 online resource (404 p.)
Note:10.1007/978-1-4757-2204-8
Contents:Robust Binary Control of Robotic Systems -- Trajectory Tracking in Flexible Robot Arms -- Variable Structure, Bilinear and Intelligent Control With Power System Application -- On Modeling and Adaptive Control of Underwater Robots -- A
Generalization of the Kalman-Yakubovic Lemma -- PSICO Today -- Pulse Driven Dynamical Systems -- Polynomial MMSE Deconvolution and its Duality with LQGR -- Topics in 2D Systems Theory -- Complexity and Feedback -- Point Estimation,
Stochastic Approximation and Robust Kalman Filtering -- Canonical Representations of Nonlinear Discrete-Time Systems -- Stochastic Model Reduction By Aggregation -- Feedback in a Behavioral Setting -- Learning Techniques and Neural
Networks for the Solution of N-Stage Nonlinear Nonquadratic Optimal Control Problems -- Shock Waves for Riccati Partial Differential Equations Arising in Nonlinear Optimal Control -- Robust Stability and Performance in the Presence of
Parametric and Norm Bounded Uncertainty -- Design and Comparison of Globally Stabilizing Controllers for an Uncertain Nonlinear System -- Nicely Nonlinear Modelling and Control -- Attenuation of Disturbances in Nonlinear Control
Systems -- The Construction of Optimal Linear and Nonlinear Regulators -- Feedback Systems Stabilizability in Terms of Invariant Zeros -- High-Order Parameter Tuners for the Adaptive Control of Linear and Nonlinear Systems -- New
Differential Geometric Methods in Nonholonomic Path Finding -- Stability Regions for Differential Algebraic Systems
ISBN:9781475722048
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Progress in Systems and Control Theory : 12
Keywords: Science , Science, general , Science, general
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Call number:SPRINGER-1992-9781461531043:ONLINE Show nearby items on shelf
Title:The Navstar Global Positioning System
Author(s): Tom Logsdon
Date:1992
Size:1 online resource (256 p.)
Note:10.1007/978-1-4615-3104-3
Contents:1 The Science of Navigation -- What Is Navigation? -- A Typical Ground-Based Radionavigation System -- The Advantages of Space-based Transmitters -- The Transit Navigation Satellites -- Gravity Gradient Stabilization -- Disturbance
Compensation Systems -- Compensating for Ionospheric Delays -- Compensating for Tropospheric Delays -- Navigation Techniques -- The Navstar Revolution -- Navstar Navigation Techniques -- The Navstar Clocks -- Practical Benefits for All
Mankind -- 2 The Navstar GPS -- The Space Segment -- Signal Structure and Pseudorandom Codes -- Navigation Solutions -- Correcting for Relativistic Time Delays -- Correcting for Ionospheric and Tropospheric Delays -- Decoding the
50-Bit-Per-Second Data Stream -- The Various Families of Navstar Satellites -- The User Segment -- A Typical High-Performance 5-Channel Receiver -- Operating Procedures -- The Control Segment -- Inverting the Navigation Solution -- The
Monitor Stations and The Master Control Station -- Field Test Results -- 3 Performance Comparisons for Today’s Radionavigation Systems -- A Sampling of Today’s Ground-based Navigation Systems -- Loran C/D -- Omega -- VOR/DME Tacan --
The Microwave Landing System -- Inertial Navigation -- JTIDS Relnav and PLRS -- Signpost Navigation Techniques -- A Sampling of Today’s Space-based Navigation Systems -- Transit -- The Navstar Global Positioning System -- The French
Argos -- Side-by-side Performance Comparisons -- 4 User-Set Architecture -- The Major Components of a Typical Navstar Receiver -- The Receiver Antenna and Its Associated Electronics -- The Tracking Loops -- Navigation Processor --
Power Supply -- Control-Display Unit -- Choosing the Proper User-set Architecture -- Performance Comparisons -- Selecting the Antennas -- Selecting the Proper Computer Processing Techniques -- Solving for the User’s Position --
Computing and Interpreting the Geometrical Dilution of Precision -- Ranging Error Budgets -- Kalman Filtering Techniques -- 5 User-set Performance -- Accuracy Estimates for Various Methods of Navigation -- Performance Criteria to
Consider when Purchasing a Navstar Receiver -- Receiver Design Choices -- Number of Channels and Sequencing Rate -- Access to Selective-availability Signals -- Available Performance Enhancement Techniques -- Computer Processing
Capabilities -- Receiver Design Smart Card -- Today’s Available Navstar Receivers -- Hand-held Receivers -- Commercially Available Navstar Chipsets -- 6 Differential Navigation and Pseudo-satellites -- Performance Comparisons: Absolute
and Differential Navigation -- Special Committee 104’s Recommended Data-exchange Protocols -- The Coast Guard’s Differential Navigation System Tests -- Motorola’s Mini Ranger Test Results -- COMSAT’s Data Distribution Service for the
Gulf of Mexico -- Wide-area Differential Navigation Services -- Pseudo-satellites -- Special Committee 104’s Data Exchange Protocols for Pseudo-satellites -- Comparisons Between Differential Navigation and Pseudo-satellites -- 7
Interferometry Techniques -- The Classical Michaelson-Morley Interferometry Experiment -- Measuring Attitude Angles with Special Navstar Receivers -- Eliminating Solution Ambiguities -- Practical Test Results -- Using Interferometry to
Fix Position -- Single, Double, and Triple Differencing Techniques -- The POPS Post-Processing Software -- Spaceborne Interferometry Receivers -- Motorola’s Commercially Available Monarch -- Tomorrow’s Generic Spaceborne Receivers -- 8
Integrated Navigation Systems -- Integrated Navigation -- Inertial Navigation -- Error Growth Rates -- Reinitialization Techniques -- Ring Laser Gyros -- Monolithic Ring Laser Gyros -- Fiber Optic Gyros -- Using the GPS for Testing
Inertial Navigation Systems -- The Practical Benefits of Integrated Navigation -- Chassis-level Integration -- 9 Interoperability with Other Navigation Systems -- The Soviet Glonass -- The Glonass Specification Release at Montreal --
The Glonass Constellation -- Orbital Maneuvers for the Glonass Satellites -- Building Dual-capability GPS/Glonass Receivers -- Receiver Design Difficulties -- Dual-Capability Receiver Tests at Leeds University -- The FAA’s Joint
Research Efforts with Soviet Scientists -- Other Attempts to Build Dual-capability Receivers -- Integrity Monitoring Techniques -- Interoperability with Other Radionavigation Systems -- Eastport International’s Integrated System for
Underwater Navigation -- 10 The Navstar Satellites -- The Eight Major Spacecraft Subsystems -- The Orbit Injection Subsystem -- Tracking, Telemetry and Command -- Attitude and Velocity Control -- Electrical Power -- Navigation
Subsystem -- Reaction Control -- Thermal Control -- Structures and Mechanisms -- On-orbit Test Results -- The Multiyear Spacecraft Procurement -- Booster Rockets -- Orbital Perturbations -- The Spacecraft Ephemeris Constants --
Satellite Viewing Angles -- Earth-shadowing Intervals -- Repeating Ground-trace Geometry -- 11 Precise Time Synchronization -- John Harrison’s Marine Chronometer -- Celestial Navigation Techniques -- A Short History of Time -- The
Atomic Clocks Carried Aboard the Navstar Satellites -- Cesium Atomic Clocks -- Rubidium Atomic Clocks -- Developing Atomic Clocks Light Enough to Travel Into Space -- The Growing Need for Precise Time Synchronization -- Time Sync
Methodologies -- Fixing Time with the Navstar Signals -- Lightweight Hydrogen Masers for Tomorrow’s Navstar Satellites -- Crosslink Ranging Techniques -- 12 Digital Avionics and Air Traffic Control -- The Sabreliner’s Flight to the
Paris Air Show -- Four Major Concerns of the Federal Aviation Administration -- Selective Availability -- User-Set Fees -- Integrity-related Failures -- Continuous Five-satellite Coverage -- Using a Dedicated Constellation for Air
Traffic Control -- An Alternative Architecture Using the GPS -- Comparisons Between Geosynchronous and Semisynchronous Constellations -- Piggyback Geosynchronous Payloads -- The Autoland System Test Results -- 13 Geodetic Surveying and
Satellite Positioning -- Determining the Shape of Planet Earth -- The Theory of Isostasy -- The Earth’s Contours Under Hydrostatic Equilibrium -- GPS Calibrations at the Turtmann Test Range -- Static Surveying Techniques -- Kinematic
and Pseudo-kinematic Surveying -- Freeway Surveying During War in the Persian Gulf -- Navstar Positioning for Landsat D -- The Landsat’s Spaceborne Receiver -- On-Orbit Navigation Accuracy -- Orbit Determination for High-altitude
Satellites -- Today’s Available Spaceborne Receivers -- 14 Military Applications -- The Military Benefits of the Worldwide Common Grid -- Field Test Results -- Projected Battlefield Benefits -- Test Range Applications -- Military
Receivers -- Carrier-landing Accuracies -- Amphibious Warfare Operations -- Accuracy-enhancements for Strategic and Cruise Missiles -- 15 Civil Applications -- Dinosaur Hunting with the GPS -- Guiding Archaeological Expeditions --
Tracking Hazardous Icebergs -- Offshore Oil Exploration -- Fixing the Positions of Railroad Trains -- Automobile Navigation -- Dead Reckoning Systems -- Tomorrow’s Space-based Vehicle Navigation Techniques -- Today’s Available
Automotive Navigation Systems -- Futuristic Applications for Navstar Navigation -- Appendix A Additional Sources of lnformation -- GPS Information Centers -- The U.S. Coast Guard’s Information Center -- The Computer Bulletin Board at
Holloman Air Force Base -- Global Satellite Software’s Computer Bulletin Board -- The Glonass Computer Bulletin Board -- Precise GPS Orbit Information -- Military GPS Information Directory -- GPS Information with a European Flavor --
The United Kingdom -- The Netherlands -- Norway -- GPS Clock Behavior -- Information for Surveyors -- GPS World Magazine -- The Federal Radionavigation Plan -- Appendix B Today’s Global Family of User-set Makers -- Domestic User-set
Makers -- Foreign User-set Makers -- Appendix C Navigation-Related Clubs and Organizations -- Appendix D Navigation-related Magazines and Periodicals
ISBN:9781461531043
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Acoustics , Physics , Acoustics , Signal, Image and Speech Processing
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Call number:SPRINGER-1991-9783662026663:ONLINE Show nearby items on shelf
Title:Kalman Filtering with Real-Time Applications
Author(s): Charles K Chui
Date:1991
Edition:Second Edition
Size:1 online resource (195 p.)
Note:10.1007/978-3-662-02666-3
Contents:1. Preliminaries -- 2. Kalman Filter: An Elementary Approach -- 3. Orthogonal Projection and Kalman Filter -- 4. Correlated System and Measurement Noise Processes -- 5. Colored Noise -- 6. Limiting Kalman Filter -- 7. Sequential and
Square-Root Algorithms -- 8. Extended Kalman Filter and System Identification -- 9. Decoupling of Filtering Equations -- 10. Notes -- References -- Answers and Hints to Exercises
ISBN:9783662026663
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 17
Keywords: Physics , Applied mathematics , Engineering mathematics , Electrical engineering , Economic theory , Physics , Mathematical Methods in Physics , Numerical and Computational Physics , Economic Theory/Quantitative Economics/Mathematical Methods , Appl.Mathematics/Computational Methods of Engineering , Communications Engineering, Networks
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Call number:SPRINGER-1991-9781461204299:ONLINE Show nearby items on shelf
Title:Identification and Stochastic Adaptive Control
Author(s): Han-Fu Chen
Date:1991
Size:1 online resource (435 p.)
Note:10.1007/978-1-4612-0429-9
Contents:1 Probability Theory Preliminaries -- 1.1 Random Variables -- 1.2 Expectation -- 1.3 Conditional Expectation -- 1.4 Independence, Characteristic Functions -- 1.5 Random Processes -- 1.6 Stochastic Integral -- 1.7 Stochastic
Differential Equations -- 2 Limit Theorems on Martingales -- 2.1 Martingale Convergence Theorems -- 2.2 Local Convergence Theorems -- 2.3 Estimation for Weighted Sums of a Martingale Difference Sequence -- 2.4 Estimation for Double
Array Martingales -- 3 Filtering and Control for Linear Systems -- 3.1 Controllability and Observability -- 3.2 Kalman Filtering for Systems with Random Coefficients -- 3.3 Discrete-Time Riccati Equations -- 3.4 Optimal Control for
Quadratic Costs -- 3.5 Optimal Tracking -- 3.6 Model Reference Control -- 3.7 Control for CARIMA Models -- 4 Coefficient Estimation for ARMAX Models -- 4.1 Estimation Algorithms -- 4.2 Convergence of ELS Without the PE Condition -- 4.3
Local Convergence of SG -- 4.4 Convergence of SG Without the PE Condition -- 4.5 Convergence Rate of SG -- 4.6 Removing the SPR Condition By An Overparameterization Technique -- 4.7 Removing the SPR Condition By Using Increasing Lag
Least Squares -- 5 Stochastic Adaptive Tracking -- 5.1 SG-Based Adaptive Tracker With d = 1 -- 5.2 SG-Based Adaptive Tracker With d ?1 -- 5.3 Stability and Optimality of Åström-Wittenmark Self-Tuning Tracker -- 5.4 Stability and
Optimality of ELS-Based Adaptive Trackers -- 5.5 Model Reference Adaptive Control -- 6 Coefficient Estimation in Adaptive Control Systems -- 6.1 Necessity of Excitation for Consistency of Estimates -- 6.2 Reference Signal With Decaying
Richness -- 6.3 Diminishingly Excited Control -- 7 Order Estimation -- 7.1 Order Estimation by Use of a Priori Information -- 7.2 Order Estimation by not Using Upper Bounds for Orders -- 7.3 Time-Delay Estimation -- 7.4 Connections of
CIC and BIC -- 8 Optimal Adaptive Control with Consistent Parameter Estimate -- 8.1 Simultaneously Gaining Optimality and Consistency in Tracking Systems -- 8.2 Adaptive Control for Quadratic Cost -- 8.3 Connection Between Adaptive
Controls for Tracking and Quadratic Cost -- 8.4 Model Reference Adaptive Control With Consistent Estimate -- 8.5 Adaptive Control With Unknown Orders, Time-Delay and Coefficients -- 9 ARX(?) Model Approximation -- 9.1 Statement of
Problem -- 9.2 Transfer Function Approximation -- 9.3 Estimation of Noise Process -- 10 Estimation for Time-Varying Parameters -- 10.1 Stability of Random Time-Varying Equations -- 10.2 Conditional Richness Condition -- 10.3 Analysis
of Kalman Filter Based Algorithms -- 10.4 Analysis of LMS-Like Algorithms -- 11 Adaptive Control of Time-Varying Stochastic Systems -- 11.1 Preliminary Results -- 11.2 Systems with Random Parameters -- 11.3 Systems with Deterministic
Parameters -- 12 Continuous-Time Stochastic Systems -- 12.1 The Model -- 12.2 Parameter Estimation -- 12.3 Adaptive Control -- References
ISBN:9781461204299
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Science , Science, general , Science, general
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Call number:SPRINGER-1990-9781468403749:ONLINE Show nearby items on shelf
Title:Mathematical Control Theory Deterministic Finite Dimensional Systems
Author(s): Eduardo D Sontag
Date:1990
Size:1 online resource (396 p.)
Note:10.1007/978-1-4684-0374-9
Contents:1 Introduction -- 1.1 What Is Mathematical Control Theory? -- 1.2 Proportional-Derivative Control -- 1.3 Digital Control -- 1.4 Feedback Versus Precomputed Control -- 1.5 State-Space and Spectrum Assignment -- 1.6 Outputs and Dynamic
Feedback -- 1.7 Dealing with Nonlinearity -- 1.8 A Brief Historical Background -- 1.9 Some Topics Not Covered -- 2 Systems -- 2.1 Basic Definitions -- 2.2 I/O Behaviors -- 2.3 Discrete-Time -- 2.4 Linear Discrete-Time Systems -- 2.5
Smooth Discrete-Time Systems -- 2.6 Continuous-Time -- 2.7 Linear Continuous-Time Systems -- 2.8 Linearizations Compute Differentials -- 2.9 More on Differentiability* -- 2.10 Sampling -- 2.11 Volterra Expansions* -- 2.12 Notes and
Comments -- 3 Reachability and Controllability -- 3.1 Basic Reachability Notions -- 3.2 Time-Invariant Systems -- 3.3 Controllable Pairs of Matrices -- 3.4 Controllability Under Sampling -- 3.5 More on Linear Controllability -- 3.6
First-Order Local Controllability -- 3.7 Piecewise Constant Controls -- 3.8 Notes and Comments -- 4 Feedback and Stabilization -- 4.1 Constant Linear Feedback -- 4.2 Feedback Equivalence* -- 4.3 Disturbance Rejection and Invariance* --
4.4 Stability and Other Asymptotic Notions -- 4.5 Unstable and Stable Modes* -- 4.6 Lyapunov’s Direct Method -- 4.7 Linearization Principle for Stability -- 4.8 More on Smooth Stabilizability* -- 4.9 Notes and Comments -- 5 Outputs --
5.1 Basic Observability Notions -- 5.2 Time-Invariant Systems -- 5.3 Continuous-Time Linear Systems -- 5.4 Linearization Principle for Observability -- 5.5 Realization Theory for Linear Systems -- 5.6 Recursion and Partial Realization
-- 5.7 Rationality and Realizability -- 5.8 Abstract Realization Theory* -- 5.9 Notes and Comments -- 6 Observers and Dynamic Feedback -- 6.1 Observers and Detectability -- 6.2 Dynamic Feedback -- 6.3 External Stability for Linear
Systems -- 6.4 Frequency-Domain Considerations -- 6.5 Parameterization of Stabilizers -- 6.6 Notes and Comments -- 7 Optimal Control -- 7.1 An Optimal Control Problem -- 7.2 Dynamic Programming -- 7.3 The Continuous-Time Case -- 7.4
Linear Systems with Quadratic Cost -- 7.5 Infinite-Time Problems -- 7.6 Tracking -- 7.7 (Deterministic) Kalman Filtering -- 7.8 Notes and Comments -- Appendixes -- A Linear Algebra -- A.1 Operator Norms -- A.2 Singular Values -- A.3
Jordan Forms and Matrix Functions -- A.4 Continuity of Eigenvalues -- B Differentials -- B.1 Finite Dimensional Mappings -- B.2 Maps Between Normed Spaces -- C Ordinary Differential Equations -- C.1 Review of Lebesgue Measure Theory --
C.2 Initial-Value Problems -- C.3 Existence and Uniqueness Theorem -- C.4 Continuous Dependence -- C.5 Linear Differential Equations -- C.6 Stability of Linear Equations
ISBN:9781468403749
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Texts in Applied Mathematics: 6
Keywords: Mathematics , System theory , Calculus of variations , Control engineering , Robotics , Mechatronics , Mathematics , Systems Theory, Control , Calculus of Variations and Optimal Control Optimization , Control, Robotics, Mechatronics
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Call number:SPRINGER-1990-9781461234623:ONLINE Show nearby items on shelf
Title:Realization and Modelling in System Theory Proceedings of the International Symposium MTNS-89, Volume I
Author(s):
Date:1990
Size:1 online resource (594 p.)
Note:10.1007/978-1-4612-3462-3
Contents:Invited Papers -- Questioning the classic state-space description via circuit examples -- Noncausal estimation for discrete Gauss-Markov random fields -- Process models for discrete event systems -- A framework for the study of
dynamical systems -- Correspondence of internal and external stability — Realization functions and complex analysis -- Transformations and Representations of Systems -- State-space and polynomial approaches to rational interpolation --
The Kähler structure of the total least squares problem, Brockett’s steepest descent equations, and constrained flows -- Some canonical properties of nonlinear systems -- Differential algebraic modelling of nonlinear systems --
Transformation issues in linear system theory -- Another look at the Brayton-Moser network equations -- Input/ output equations and realizability -- Balancing general quadratic measures on external signals -- The Topology of Linear
Systems -- Lie algebraic generalizations of Hessenberg matrices and the topology of Hessenberg varieties -- The moduli space of controllable singular systems under restricted system equivalence -- A note on the geometry of partial
realization -- The numerical stability of observability -- Algebraic Geometry and Linear Systems -- On BC S-rings and the pole shifting problem for linear systems -- Matching via measurement feedback -- Algebraic-geometric techniques
for linear periodic discrete-time systems -- Zeros at infinity for infinite dimensional systems -- The pole module of a feedback compensator system is contained in the zero module of the resulting feedback system -- On stabilization
and the existence of coprirne factorizations -- Continuous pole shifting for parametric families of systems -- The Riccati fiow near the edge -- Singular Systems -- Reachability and controllability subspaces for singular systems: A
matrix pencil characterization -- Classification of subspaces of singular systems: A number theoretic approach -- A classification of minimal bases for singular systems -- Some useful aspects of the infinite structure in singular
systems -- On infinite zeros for generalized linear systems -- Non-Standard Models in System Theory -- Multiscale statistical signal processing: Stochastic processes indexed by trees -- Realization theory for deterministic
boundary-value descriptor systems -- Two-Dimensional Systems -- An algebraic test for internal stability of 2-D discrete systems -- On some algebraic aspects of 2D dynamic feedback control -- Recursive reconstruction of image from
noisy and blurred multiframes -- Computation of the fundamental matrix sequence and the Cay ley-Hamilton theorem in singular 2-D systems -- A state representation for 2-D systems -- Markovian properties for 2-D systems -- 2D transfer
functions and stability tests for discrete linear multipass processes -- Bilinear Systems -- Constant feedback stabilizability of bilinear systems -- The parameter sensitivity of bilinear dynamical systems -- Approximate bilinear
realizations: an application to diffusion processes -- Approximate Realization -- Interpolation and Fourier coefficients in the Hardy space H2 -- Approximation of linear systems under the constraint of steady-state values of the step
responses -- Canonical variate modelling and approximation of linear systems -- Experimental analysis of robust solutions to three problems related to the partial realization problem -- System Identification -- Structural
identifiability conditions for systems operating in closed loop -- A Imost sure asymptotics of Rissanen’s predictive stochastic complexity -- System identifiability for the procedure of most powerful unfalsified modeling --
Identification in H-infinity: A robustly convergent nonlinear algorithm -- Identification/prediction algorithms for ARMAX models with relaxed positive real conditions -- An identification procedure for linear continuous time systems
with jump parameters -- On discriminable model sets in residual-based system identification -- Stochastic Dynamical Systems and Statistical Physics -- Stochastic differential equations as dynamical systems -- On the Markov processes of
Schroedinger, the Feynman-Kac formula and stochastic control -- Hamiltonian models of classical and quantum stochastic processes -- Stochastic aggregation of linear Hamiltonian systems with microcanonical distribution -- A stochastic
integral representation for functional of diffusions on manifolds -- Discrete Event Systems -- Reachability of LSFC Nets -- On controllable languages in supervisory control of discrete event systems -- Petri-net-based fairness concepts
for discrete event systems -- Discrete event systems and deadlock -- Hydrology and Hydraulics -- Simplified adaptive Kalman filtering for large-scale geophysical models -- The calibration of 2-D shallow water flow models -- Domain
decomposition for data assimilation in flow forecasting models
ISBN:9781461234623
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Progress in Systems and Control Theory : 3
Keywords: Science , Science, general , Science, general
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Call number:SPRINGER-1987-9783662025086:ONLINE Show nearby items on shelf
Title:Kalman Filtering with Real-Time Applications
Author(s): Charles K Chui
Date:1987
Size:1 online resource (191 p.)
Note:10.1007/978-3-662-02508-6
Contents:1. Preliminaries -- 2. Kalman Filter: An Elementary Approach -- 3. Orthogonal Projection and Kalman Filter -- 4. Correlated System and Measurement Noise Processes -- 5. Colored Noise -- 6. Limiting Kalman Filter -- 7. Sequential and
Square-Root Algorithms -- 8. Extended Kalman Filter and System Identification -- 9. Decoupling of Filtering Equations -- 10. Notes -- References -- Answers and Hints to Exercises
ISBN:9783662025086
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 17
Keywords: Physics , Optics , Optoelectronics , Plasmons (Physics) , Physics , Optics, Optoelectronics, Plasmonics and Optical Devices , Mathematical Methods in Physics , Numerical and Computational Physics
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Call number:SPRINGER-1985-9789400948280:ONLINE Show nearby items on shelf
Title:Stochastic Modelling and Control
Author(s): M. H. A Davis
Date:1985
Size:1 online resource (394 p.)
Note:10.1007/978-94-009-4828-0
Contents:1 Probability and linear system theory -- 1.1 Probability and random processes -- 1.2 Linear system theory -- Notes and references -- 2 Stochastic models -- 2.1 A general output process -- 2.2 Stochastic difference equations -- 2.3
ARMA noise models -- 2.4 Stochastic dynamical models -- 2.5 Innovations representations -- 2.6 Predictor models -- Notes and references -- 3 Filtering theory -- 3.1 The geometry of linear estimation -- 3.2 Recursive estimation -- 3.3
The Kalman filter -- 3.4 Innovations representation of state-space models -- Notes and references -- 4 System identification -- 4.1 Point estimation theory -- 4.2 Models -- 4.3 Parameter estimation for static systems -- 4.4 Parameter
estimation for dynamical systems -- 4.5 Off-line identification algorithms -- 4.6 Algorithms for on-line parameter estimation -- 4.7 Bias arising from correlated disturbances -- 4.8 Three-stage least squares and order determination for
scalar ARMAX models -- Notes and references -- 5 Asymptotic analysis of prediction error identification methods -- 5.1 Preliminary concepts and definitions -- 5.2 Asymptotic properties of the parameter estimates -- 5.3 Consistency --
5.4 Interpretation of identification in terms of systems approximation -- Notes and references -- 6 Optimal control for state-space models -- 6.1 The deterministic linear regulator -- 6.2 The stochastic linear regulator -- 6.3 Partial
observations and the separation principle -- Notes and references -- 7 Minimum variance and self-tuning control -- 7.1 Regulation for systems with known parameters -- 7.2 Pole/zero shifting regulators -- 7.3 Self-tuning regulators --
7.4 A self-tuning controller with guaranteed convergence -- Notes and references -- Appendix A A uniform convergence theorem and proof of Theorem 5.2.1 -- Appendix B The algebraic Riccati equation -- Appendix C Proof of Theorem 7.4.2
-- Appendix D Some properties of matrices -- Appendix E Some inequalities of Hölder type -- Author index
ISBN:9789400948280
Series:eBooks
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Keywords: Science , Science, general , Science, general
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Call number:SPRINGER-1981-9783709128046:ONLINE Show nearby items on shelf
Title:Lectures on Wiener and Kalman Filtering
Author(s): T Kailath
Date:1981
Size:1 online resource (187 p.)
Note:10.1007/978-3-7091-2804-6
ISBN:9783709128046
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:International Centre for Mechanical Sciences, Courses and Lectures: 140
Keywords: Physics , Mechanics , Electrical engineering , Physics , Mechanics , Electrical Engineering
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Call number:SPRINGER-1981-9783540384434:ONLINE Show nearby items on shelf
Title:Two-Dimensional Digital Signal Processing I Linear Filters
Author(s):
Date:1981
Size:1 online resource (212 p.)
Note:10.1007/3-540-10348-1
Contents:Two-dimensional nonrecursive filter design -- Design of two-dimensional recursive filters -- Stability of general two-dimensional recursive filters -- Two-dimensional Kalman filtering
ISBN:9783540384434
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Topics in Applied Physics: 42
Keywords: Engineering , Image processing , Electrical engineering , Engineering , Communications Engineering, Networks , Image Processing and Computer Vision
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Call number:QA402.3.K28::1985 Show nearby items on shelf
Title:Kalman filtering : theory and application
Author(s): H.W. Sorenson
Date:1985
Publisher:IEEE Press, New York
Size:457
ISBN:0879421916
Series:IEEE Press selected reprint series v. 39
Keywords: Kalman filtering.
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