Optimal Adaptive Control Systems
โ Scribed by David Sworder (Eds.)
- Publisher
- Elsevier Science & Technology
- Year
- 1966
- Tongue
- English
- Leaves
- 195
- Series
- Mathematics in Science and Engineering 25
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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; andmethods 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 particularbranches, 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
โฆ Table of Contents
Content:
Edited by
Page v
Copyright page
Page vi
Preface
Pages vii-viii
David D. Sworder
Chapter 1 Introduction to the Theory of Optimal Adaptive Control Systems
Pages 1-19
Chapter 2 A Game-Theoretic Approach to the Formulation of Adaptive Control Problems
Pages 20-44
Chapter 3 Application of Minimax Theory to the Design of Adaptive Control Systems
Pages 45-61
Chapter 4 Synthesis of Bayes Control Policies for Discrete Time Adaptive Control Systems
Pages 62-77
Chapter 5 Control of Linear Systems with a Markov Property
Pages 78-110
Chapter 6 Suboptimal Adaptive Control Systems
Pages 111-134
Chapter 7 Conclusion
Pages 135-138
Appendix A
Pages 139-149
Appendix B
Pages 150-151
Appendix C
Pages 152-154
Appendix D
Pages 155-158
Appendix E
Pages 159-168
Appendix F
Pages 169-176
Appendix G
Page 177
Appendix H
Pages 178-183
Author Index
Page 185
Subject Index
Pages 186-187
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