Introduction to Stochastic Control Theory ( Volume 70 )

Publication series :Volume 70

Author: Astrom   Karl J.  

Publisher: Elsevier Science‎

Publication year: 1971

E-ISBN: 9780080955797

P-ISBN(Paperback): 9780120656509

P-ISBN(Hardback):  9780120656509

Subject: O231 Cybernetics of cybernetics theory (mathematics)

Language: ENG

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Description

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

TABLE OF CONTENTS

pp.:  8 – 10

Preface

pp.:  10 – 12

Acknowledgments

pp.:  12 – 16

CHAPTER 1 STOCHASTIC CONTROL

pp.:  16 – 28

CHAPTER 2 STOCHASTIC PROCESSES

pp.:  28 – 59

CHAPTER 3 STOCHASTIC STATE MODELS

pp.:  59 – 106

CHAPTER 4 ANALYSIS OF DYNAMICAL SYSTEMS WHOSE INPUTS ARE STOCHASTIC PROCESSES

pp.:  106 – 130

CHAPTER 5 PARAMETRIC OPTIMIZATION

pp.:  130 – 174

CHAPTER 6 MINIMAL VARIANCE CONTROL STRATEGIES

pp.:  174 – 225

CHAPTER 7 PREDICTION AND FILTERING THEORY

pp.:  225 – 271

CHAPTER 8 LINEAR STOCHASTIC CONTROL THEORY

pp.:  271 – 310

Index

pp.:  310 – 315

Mathematics in Science and Engineering

pp.:  315 – 318

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