Control and Dynamic Systems V30: Advances in Algorithms and Computational Techniques in Dynamic System Control Part 3 of 3 - 1st Edition - ISBN: 9780120127306, 9780323162371

Control and Dynamic Systems V30: Advances in Algorithms and Computational Techniques in Dynamic System Control Part 3 of 3

1st Edition

Advances in Theory and Applications

Editors: C.T. Leonides
eBook ISBN: 9780323162371
Imprint: Academic Press
Published Date: 28th March 1989
Page Count: 272
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Control and Dynamic Systems: Advances in Theory in Applications, Volume 30: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume begins with the issue of decision making or optimal control in the natural environment. It then discusses large-scale systems composed of multiple sensors; algorithms for systems with multiplicative noise; stochastic differential games; Markovian targets; low-cost microcomputer and true digital control systems; and algorithms for the design of teleoperated systems. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.

Table of Contents




Computational Techniques for Multicriteria Stochastic Optimization and Control

I. Introduction

II. Problem Definition

III. Solution Methodologies

IV. Stochastic Multicriteria Optimization and Control

V. Multicriteria Optimization for Adaptive/Stochastic Control

VI. Concluding Remarks


Gain Transfer: An Algorithm for Decentralized Hierarchical Estimation

I. Introduction

II. Gain Transfer: An Algorithm for Decentralized Hierarchical Estimation

III. Test Problem

IV. Evaluation of the Gain Transfer Algorithm

V. Applications of the Gain Transfer Algorithm

VI. Further Research Opportunities

VII. Conclusion

Appendix. Test Problem: Multisensor Alignment


Algorithms for Systems with Multiplicative Noise

I. Introduction

II. Filtering, Smoothing, Prediction

III. Control Algorithms

IV. Conclusion


Proportional Navigation and the Game of Two Cars: The Case Where Both Players Have a Variable Speed

I. Introduction

II. The Equations of Motion

III. Formulation of the Problem

IV. Computation of Feedback Strategies

V. A Numerical Study

VI. Conclusions

Appendix. The Finite-Difference Scheme


Algorithms for Optimal Searching and Control Systems for a Markovian Target

I. Introduction

II. Formulation of Searching Problems

III. Searching Equations and Search Function

IV. Simulation Experiments for Searching

V. Optimal Search

VI. Conclusions


Recursive Estimation, Forecasting, and Adaptive Control

I. Introduction

II. The Time-Series Model

III. Signal Processing and Time-Series Analysis

IV. Model Identification and Parameter Estimation

V. Fixed Gain and Adaptive Control

VI. Recursive Forecasting of Nonstationary Time Series

VII. Conclusions


Algorithms for Design of Teleoperated Systems

I. Introduction

II. Modeling the Human Operator

III. The Generalized Operator Model

IV. Simplification of the Operator Model

V. Conclusions

Appendix. Analytical Development of Propositions


Algorithms for Discrete Systems with Multi-Time Scales

I. Introduction

II. Discrete Multiple-Time-Scale Systems

III. Feedback Control Design

IV. Linear Quadratic Regulators

V. Discussion and Concluding Remarks




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© Academic Press 1989
Academic Press
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About the Editor

C.T. Leonides

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