Stochastic Optimal Control Theory With Application In Self-tuning Control (lecture Notes In Control And Information Sciences) 🔍
Kenneth J. Hunt (eds.) Springer-Verlag Berlin Heidelberg, Lecture Notes in Control and Information Sciences, Lecture Notes in Control and Information Sciences 117, 1, 1989
英语 [en] · PDF · 3.2MB · 1989 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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.
Erscheinungsdatum: 06.02.1989
备用文件名
lgrsnf/A:\compressed\10.1007%2FBFb0042749.pdf
备用文件名
nexusstc/Stochastic Optimal Control Theory with Application in Self-Tuning Control/54f6c1699022c4feb29cefc37ecbed33.pdf
备用文件名
zlib/Engineering/Kenneth J. Hunt (eds.)/Stochastic Optimal Control Theory with Application in Self-Tuning Control_2110927.pdf
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用版本
Lecture notes in control and information sciences, Berlin, Heidelberg, 1989
备用版本
Lecture Notes in Control and Information Sciences Ser, New York, April 2006
备用版本
Lecture notes in control and information sciences, 117, Berlin, ©1989
备用版本
Berlin [etc, cop. 1989
备用版本
Germany, Germany
备用版本
1, 1989-03-13
备用版本
Feb 06, 1989
元数据中的注释
lg957028
元数据中的注释
{"container_title":"Lecture Notes in Control and Information Sciences","edition":"1","isbns":["3540460403","3540505326","9783540460404","9783540505327"],"last_page":311,"publisher":"Springer","series":"Lecture Notes in Control and Information Sciences 117"}
元数据中的注释
Source title: Stochastic Optimal Control Theory with Application in Self-Tuning Control (Lecture Notes in Control and Information Sciences (117))
备用描述
Annotation 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
备用描述
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
开源日期
2013-08-01
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