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

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

Advances in Theory and Applications

1st Edition - March 28, 1989

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  • Editor: C.T. Leonides
  • eBook ISBN: 9780323162371

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Description

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


  • Contents

    Contributors

    Preface

    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

    References

    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

    References

    Algorithms for Systems with Multiplicative Noise

    I. Introduction

    II. Filtering, Smoothing, Prediction

    III. Control Algorithms

    IV. Conclusion

    References

    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

    References

    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

    References

    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

    References

    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

    References

    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

    References

    Index

Product details

  • No. of pages: 272
  • Language: English
  • Copyright: © Academic Press 1989
  • Published: March 28, 1989
  • Imprint: Academic Press
  • eBook ISBN: 9780323162371

About the Editor

C.T. Leonides

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