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dc.contributor.authorAbdallah, Chaouki T.
dc.contributor.authorHokayem, Peter E.
dc.date.accessioned2012-03-29T20:18:49Z
dc.date.available2012-03-29T20:18:49Z
dc.date.issued2003-12-09
dc.identifier.citationProceedings of the 42nd IEEE Conference on Decision and Control, 2003, 3: 2435-2440en_US
dc.identifier.issn0191-2216
dc.identifier.urihttp://hdl.handle.net/1928/20271
dc.descriptionDigital Object Identifier: 10.1109/CDC.2003.1272985en_US
dc.description.abstractMany practical control problems are so complex that traditional analysis and design methods fail to solve. Consequently, sampling methods that provide approximate solutions to such difficult problems have emerged. In this paper we address the deterministic quasi-Monte Carlo method of sampling and attempt to impose bounds on the error involved in the evaluation of the quality of performance of a specific controller over the whole plant parameter uncertainty space.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectChaosen_US
dc.subjectControl systemsen_US
dc.subjectError correctionen_US
dc.titleQuasi-Monte Carlo methods in robust control designen_US
dc.typeArticleen_US


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