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Quasi-Monte Carlo methods in robust control design


Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/20271

Quasi-Monte Carlo methods in robust control design

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dc.contributor.author Abdallah, Chaouki T.
dc.contributor.author Hokayem, Peter E.
dc.date.accessioned 2012-03-29T20:18:49Z
dc.date.available 2012-03-29T20:18:49Z
dc.date.issued 2003-12-09
dc.identifier.citation Proceedings of the 42nd IEEE Conference on Decision and Control, 2003, 3: 2435-2440 en_US
dc.identifier.issn 0191-2216
dc.identifier.uri http://hdl.handle.net/1928/20271
dc.description Digital Object Identifier: 10.1109/CDC.2003.1272985 en_US
dc.description.abstract Many 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.sponsorship IEEE en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Chaos en_US
dc.subject Control systems en_US
dc.subject Error correction en_US
dc.title Quasi-Monte Carlo methods in robust control design en_US
dc.type Article en_US

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