Table of contents

About this book

Introduction

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.

Keywords

Tracking adaptive control algorithm control control engineering control system control theory optimal control power systems

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0042749
  • Copyright Information Springer-Verlag 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-50532-7
  • Online ISBN 978-3-540-46040-4
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book