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121227s1989 gw | s |||| 0|eng d |
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|a 9783540460404
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|a 10.1007/BFb0042749
|2 doi
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|a Hunt, Kenneth J.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Stochastic Optimal Control Theory with Application in Self-Tuning Control
|h [electronic resource] /
|c by Kenneth J. Hunt.
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|a 1st ed. 1989.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 1989.
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|a X, 311 p. 53 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a online resource
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|b PDF
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|a Lecture Notes in Control and Information Sciences,
|x 0170-8643 ;
|v 117
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|a Springer eBook Collection
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|a 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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|a 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.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Power electronics.
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|a Electrical engineering.
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|a Electronic resources (E-books)
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|a SpringerLink (Online service)
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|t Springer eBooks
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|a Lecture Notes in Control and Information Sciences,
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|a Springer eBook Collection.
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