Stochastic optimal control theory with application in self-tuning control
Author(s)
Bibliographic Information
Stochastic optimal control theory with application in self-tuning control
（Lecture notes in control and information sciences, 117）
Springer-Verlag, c1989
- : us
- : gw
Available at / 45 libraries
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Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
: Germany629.8-85s081000081540*
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Hokkaido University, Faculty and Graduate School of Engineering図書
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Note
Bibliography: p. 247-266
Description and Table of Contents
Description
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
to stochastic optimal control.- Stochastic tracking with measurable disturbance feedforward.- to self-tuning control.- Optimal self-tuning algorithm.- A power systems application.- Conclusions.
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