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Stochastic Adaptive Control Results and Simulations

  • Book
  • © 1987

Overview

Editors:
  1. Alexis Aloneftis
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Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 98)

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Table of contents (6 chapters)

  1. Front Matter

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  2. Introduction

    Pages 1-4

  3. Self-tuning control of systems with random disturbances

    Pages 5-30

  4. Computer simulations of self-tuning control algorithms

    Pages 31-58

  5. Adaptive control of systems with random disturbances

    Pages 59-81

  6. Computer simulations of adaptive control algorithms

    Pages 82-103

  7. Conclusion

    Pages 104-109

  8. Back Matter

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Keywords

About this book

The theme of this monograph is the adaptive control of systems in a stochastic environment and, more precisely, the study of the tracking problem for ARMAX SISO stochastic systems with time invariant and time varying parameters. Results of simultaneous tracking and parameter identification are included. The author has aimed to (1) provide a reasonably self-contained and up-to-date exposition of the tracking problem after having properly placed it amongst numerous ideas, approaches, and subproblems related to adaptive control, (2) display computer simulation results and discuss their comparative behaviour, (3) introduce a new approach to the stochastic adaptive control with promising results, and (4) qualitatively discuss the adaptive control problem in the hope of improving our understanding of it, stimulate the informed reader to come up with new ideas, and attract newcomers to its study. The reader is assumed to have studied control systems at the graduate level and to have a reasonably good grasp of basic probability theory. Apart from its educational value to the adaptive control student, it is hoped that the accumulation of scattered results and their computer simulation, as well as an extensive reference section will attract the active researcher in this field.

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