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.
| ISBN: | 9783540505327 |
| Publication date: | 6th February 1989 |
| Author: | Kenneth J Hunt |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 311 pages |
| Series: | Lecture Notes in Control and Information Sciences |
| Genres: |
Automatic control engineering Communications engineering / telecommunications Maths for engineers Electrical engineering |
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.
Stochastic Optimal Control Theory With Application in Self-Tuning Control features in the following genres: Automatic control engineering, Communications engineering / telecommunications, Maths for engineers, Electrical engineering
Stochastic Optimal Control Theory With Application in Self-Tuning Control is available in Paperback
Stochastic Optimal Control Theory With Application in Self-Tuning Control was written by Kenneth J Hunt and published by Springer an imprint of Springer Berlin Heidelberg
Stochastic Optimal Control Theory With Application in Self-Tuning Control has 311 pages
Yes it is part of Lecture Notes in Control and Information Sciences series