Advances in Control Systems - 1st Edition - ISBN: 9781483167152, 9781483194639

Advances in Control Systems, Volume 6

1st Edition

Theory and Applications

Editors: C. T. Leondes
eBook ISBN: 9781483194639
Imprint: Academic Press
Published Date: 1st January 1968
Page Count: 336
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Table of Contents



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



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


Multilevel Optimization Techniques with Application to Trajectory Decomposition

I. Introduction

II. Static Systems

III. Dynamic Systems

IV. Trajectory Decomposition and Multilevel Optimization

V. Appendices


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


Author Index

Subject Index


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.


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© Academic Press 1968
Academic Press
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About the Editors

C. T. Leondes Editor