Advances in Control Systems
Theory and Applications
- 1st Edition, Volume 6 - January 1, 1968
- Latest edition
- Editor: C. T. Leondes
- Language: English
Advances in Control Systems: Theory and Applications, Volume 6 provides information pertinent to the significant progress in the field of control and systems theory and… Read more
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Description
Description
Advances in Control Systems: Theory and Applications, Volume 6 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book presents the higher level of automata, which represent the embodiment of the application of artificial intelligence techniques to control system design and may be described as self-organizing systems. Organized into four chapters, this volume begins with an overview of the existing technology in learning control system. This text then demonstrates how to apply artificial intelligence techniques to the designs of off-line and on-line learning control systems. Other chapters consider the decomposition methods and the associated multilevel optimization techniques applicable to control system optimization problems. This book discusses as well the complex optimal system control problems applied to the trajectory optimization problem. The final chapter deals with systems described by partial differential equations. This book is a valuable resource for control system engineers.
Table of contents
Table of contents
Contributors
Preface
Contents of Previous Volumes
The Application of Techniques of Artificial Intelligence to Control System Design
I. Introduction
II. Survey of Learning Control Systems
III. A Spacecraft Application for On-Line-Learning Control
IV. Synthesis of a Closed-Loop, Time, Suboptimal Controller by Off-Line Training Techniques
References
Bibliography
Controllability and Observability of Linear, Stochastic, Time-Discrete Control Systems
I. Formulation of the General Problem
II. Optimal Control of Linear Time-Discrete Systems
III. Controllability of Linear, Time-Discrete Systems
IV. The Duality Principle, Observability and the Kaiman Filter
V. Conclusions and Summary
List of Symbols
References
Multilevel Optimization Techniques with Application to Trajectory Decomposition
I. Introduction
II. Static Systems
III. Dynamic Systems
IV. Trajectory Decomposition and Multilevel Optimization
V. Appendices
References
Optimal Control Theory Applied to Systems Described by Partial Differential Equations
I. Problem Description and Background
II. Analytical Treatment of Partial Differential Equations
III. Controllability of Distributed Parameter Systems
IV. Analysis of Optimal Control Problems
V. Analytical Solutions of Some Optimal Control Problems
VI. A Geometrical Interpretation of the Optimization Problems and Some Algorithms for Their Numerical Solution
VII. Concluding Remarks
References
Author Index
Subject Index
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 6
- Published: December 1, 2014
- Language: English
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