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Stochastic Optimal Control Theory with Application in Self-Tuning Control

  • Book
  • © 1989

Overview

Editors:
  1. Kenneth J. Hunt
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Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 117)

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Table of contents (6 chapters)

  1. Front Matter

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  2. Introduction to stochastic optimal control

    Pages 1-14

  3. Stochastic tracking with measurable disturbance feedforward

    Pages 15-116

  4. Introduction to self-tuning control

    Pages 117-153

  5. Optimal self-tuning algorithm

    Pages 154-202

  6. A power systems application

    Pages 203-240

  7. Conclusions

    Pages 241-246

  8. Back Matter

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Keywords

About this book

This book merges two major areas of control: the design of control systems and adaptive control. Original contributions are made in the polynomial approach to stochastic optimal control and the resulting control laws are then manipulated into a form suitable for application in the self-tuning control framework. A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward. A powerful feature of the book is the presentation of a case-study in which the LQG self-tuner was tested on the pressure control loop of a power station. The broad coverage of the book should appeal not only to research workers, teachers and students of control engineering, but also to practicing industrial control engineers.

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