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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

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


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

  • Edition: 1
  • Latest edition
  • Volume: 6
  • Published: December 1, 2014
  • Language: English

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