Stochastic Optimal Control Theory with Application in Self-Tuning Control

✍ Scribed by Kenneth J. Hunt (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1989
• Tongue: English
• Leaves: 318
• Series: Lecture Notes in Control and Information Sciences 117
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Introduction to stochastic optimal control....Pages 1-14
Stochastic tracking with measurable disturbance feedforward....Pages 15-116
Introduction to self-tuning control....Pages 117-153
Optimal self-tuning algorithm....Pages 154-202
A power systems application....Pages 203-240
Conclusions....Pages 241-246

✦ Subjects

Control Engineering;Appl.Mathematics/Computational Methods of Engineering;Electrical Power Generation and Transmission;Communications Engineering, Networks