Stochastic Optimal Control Theory with Application in Self-Tuning Control

Kenneth J. Hunt

ISBN 10: 3540505326 / ISBN 13: 9783540505327

Published by Springer Berlin Heidelberg, 1989

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540505327

Bibliographic Details

• Title: Stochastic Optimal Control Theory with Application in Self-Tuning Control
• Publisher: Springer Berlin Heidelberg
• Publication Date: 1989
• Language: English
• ISBN 10: 3540505326
• ISBN 13: 9783540505327
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 18D millimeters 244 millimeters width by 170 millimeters height by 18 millimeters depth
• Weight: 562 grams

About this title

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.