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Robust stochastic design of linear controlled systems for performance optimization / Alexandros A. Taflanidis in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 132 N° 5 (Septembre 2010) 

Public ISBD [article]  in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 5 (Septembre 2010) . - 15 p. Titre : Robust stochastic design of linear controlled systems for performance optimization Type de document : texte imprimé Auteurs : Alexandros A. Taflanidis, Auteur ; Scruggs, Jeffrey T., Auteur ; James L. Beck, Auteur Année de publication : 2010 Article en page(s) : 15 p. Note générale : Systèmes dynamiques Langues : Anglais (eng) Mots-clés : Control  system  synthesis  Linear  systems  Optimal  control  Robust  control  Stability  Structural  engineering  Vibration  control Index. décimale : 629.8 Résumé : This study discusses a robust controller synthesis methodology for linear, time invariant systems, under probabilistic parameter uncertainty. Optimization of probabilistic performance robustness for [script H]2 and multi-objective [script H]2 measures is investigated, as well as for performance measures based on first-passage system reliability. The control optimization approaches proposed here exploit recent advances in stochastic simulation techniques. The approach is illustrated for vibration response suppression of a civil structure. The results illustrate that, for problems with probabilistic uncertainty, the explicit optimization of probabilistic performance robustness can result in markedly different optimal feedback laws, as well as enhanced performance robustness, when compared to traditional “worst-case” notions of robust optimal control. DEWEY : 629.8 ISSN : 002-0434 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013200 [...] [article] Robust stochastic design of linear controlled systems for performance optimization [texte imprimé] / Alexandros A. Taflanidis, Auteur ; Scruggs, Jeffrey T., Auteur ; James L. Beck, Auteur . - 2010 . - 15 p. Systèmes dynamiques Langues : Anglais (eng) in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 5 (Septembre 2010) . - 15 p. Mots-clés : Control  system  synthesis  Linear  systems  Optimal  control  Robust  control  Stability  Structural  engineering  Vibration  control Index. décimale : 629.8 Résumé : This study discusses a robust controller synthesis methodology for linear, time invariant systems, under probabilistic parameter uncertainty. Optimization of probabilistic performance robustness for [script H]2 and multi-objective [script H]2 measures is investigated, as well as for performance measures based on first-passage system reliability. The control optimization approaches proposed here exploit recent advances in stochastic simulation techniques. The approach is illustrated for vibration response suppression of a civil structure. The results illustrate that, for problems with probabilistic uncertainty, the explicit optimization of probabilistic performance robustness can result in markedly different optimal feedback laws, as well as enhanced performance robustness, when compared to traditional “worst-case” notions of robust optimal control. DEWEY : 629.8 ISSN : 002-0434 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013200 [...]