Archivio Istituzionale della RicercaThe probabilistic approach to analysis and design of robust control systems is an emerging philosophy that gained increasing interest in the past. Opposed to the so-far dominating paradigm of deterministic worst-case robustness, the probabilistic approach presents itself as a natural tool to deal with the random character of uncertainties affecting control systems. In this paper, we discuss randomized algorithms for probabilistic robustness, with particular attention to recently developed methodologies for controller synthesis.
Randomized Algorithms in Robust Control / Calafiore, Giuseppe Carlo; F., Dabbene; AND R., Tempo. - STAMPA. - 2:(2003), pp. 1908-1913. (Intervento presentato al convegno IEEE Conference on Decision and Control tenutosi a Maui nel 9-12 Dec. 2003) [10.1109/CDC.2003.1272894].
Randomized Algorithms in Robust Control
CALAFIORE, Giuseppe Carlo;
2003
Abstract
The probabilistic approach to analysis and design of robust control systems is an emerging philosophy that gained increasing interest in the past. Opposed to the so-far dominating paradigm of deterministic worst-case robustness, the probabilistic approach presents itself as a natural tool to deal with the random character of uncertainties affecting control systems. In this paper, we discuss randomized algorithms for probabilistic robustness, with particular attention to recently developed methodologies for controller synthesis.
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https://hdl.handle.net/11583/1408971
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