Tuning Fuzzy PD controller using Tabu Search

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DC Field	Value	Language
dc.contributor.author	Talbi .N, Belarbi .K	-
dc.date.accessioned	2013-12-22T11:21:18Z	-
dc.date.available	2013-12-22T11:21:18Z	-
dc.date.issued	2013-12-22	-
dc.identifier.issn	MO	-
dc.identifier.uri	http://hdl.handle.net/123456789/3680	-
dc.description	The International Conference on Electronics & Oil ICEO11 March 1-2 2011	en_US
dc.description.abstract	Fuzzy controllers are represented by if-then rules and thus can provide a user friendly and understandable knowledge representation. Metaheuristic algorithms have been widely used for optimal design of fuzzy controllers. In this paper, we propose new autotuning fuzzy PD controllers using Tabu Search (TS) for generating knowledge bases for fuzzy logic systems. The algorithm dynamically adjusts the membership functions and fuzzy rules according to different environments. it was tested on the control of angle of inverted pendulum	en_US
dc.language.iso	en	en_US
dc.relation.ispartofseries	2011;	-
dc.subject	Fuzzy PD controller	en_US
dc.subject	Tuning Fuzzy PD controller	en_US
dc.subject	Tabu Search	en_US
dc.title	Tuning Fuzzy PD controller using Tabu Search	en_US
dc.type	Article	en_US
Appears in Collections:	3. Faculté des sciences appliquées

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