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Design Of Intelligent Control Systems Based On Hierarchical Stochastic Automata - Pedro Lima, George N Saridis

Design Of Intelligent Control Systems Based On Hierarchical Stochastic Automata

Buch | Hardcover
168 Seiten
1996
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-02-2255-0 (ISBN)
CHF 104,75 inkl. MwSt
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This work introduces a design methodology for intelligent controllers. Its goal is to provide a measure of the performance applicable to any of the subsystems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the machine's environment.
In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different sub-systems composing an intelligent machine. Its goal is to provide a performance measure applicable to any of the sub-systems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.

Review on the design of intelligent control systems; learning stochastic automata; stochastic grammars; hierarchical intelligent machines revistied; a peformance measure for intelligent control systems; the intelligent machine as a hierarchical stochastic automation; design methodology and execution algorithm; convergence rate and convergence acceleration of learning; examples and cases studies; conclusions and suggested future work.

Erscheint lt. Verlag 1.3.1996
Reihe/Serie Series In Intelligent Control And Intelligent Automation ; 2
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 981-02-2255-6 / 9810222556
ISBN-13 978-981-02-2255-0 / 9789810222550
Zustand Neuware
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