Original title: Optimization of controller design using Monte-Carlo simulation
Translated title: Optimalizace návrhu řízení založená na Monte-Carlo simulaci
Authors: Novák, Miroslav ; Pavelková, Lenka
Document type: Papers
Conference/Event: Computer-Intensive Methods in Control and Data Processing. CMP'04: Towards Electronic Democracy, Praha (CZ), 2004-05-12 / 2004-05-14
Year: 2004
Language: eng
Abstract: [eng] [cze]
We propose an optimization technique of controller parameters for given system according to defined signal constraints. The quality of the controller is evaluated using Monte-Carlo simulation. The system is considered to be stochastic. The optimization uses sample path method and deterministic quasi-Newtonian method. Capability of proposed technique is illustrated in the experiment. Parametry regulátoru jsou optimalizovány tak, aby pro daný stochastický neúplně známý systém byla splněna omezení na zvolené signály. Optimalizace je založena na deterministické quasi-Newtonově metodě aplikované na realizacích signálů uzavřeného obvodu. Možnosti metody jsou doloženy příkladem
Keywords: adaptive controller; controller design; optimization
Project no.: CEZ:AV0Z1075907 (CEP), GA102/02/0204 (CEP), GA102/01/0608 (CEP), IBS1075351 (CEP)
Funding provider: GA ČR, GA ČR, GA AV ČR
Host item entry: Multiple Participant Decision Making. CMP'04

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0013589

Permalink: http://www.nusl.cz/ntk/nusl-20100


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers