Kenneth J. Hunt

Stochastic Optimal Control Theory with Application in Self-Tuning Control

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Control and Information Sciences 117
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-50532-7
• 1989.
• Seitenzahl: 324
• Erscheinungstermin: 6. Februar 1989
• Englisch
• Abmessung: 244mm x 170mm x 18mm
• Gewicht: 560g
• ISBN-13: 9783540505327
• ISBN-10: 3540505326
• Artikelnr.: 29013500

Inhaltsangabe

to stochastic optimal control.- Stochastic tracking with measurable disturbance feedforward.- to self-tuning control.- Optimal self-tuning algorithm.- A power systems application.- Conclusions.