H infinity tracking of uncertain SISO nonlinear systems: an observer-based adaptive fuzzy approach

Rigatos, GG; Tzafestas, SG

dc.contributor.author	Rigatos, GG	en
dc.contributor.author	Tzafestas, SG	en
dc.date.accessioned	2014-03-01T01:56:29Z
dc.date.available	2014-03-01T01:56:29Z
dc.date.issued	2007	en
dc.identifier.issn	0020-7721	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28121
dc.subject	adaptive fuzzy control	en
dc.subject	H infinity control	en
dc.subject	observer	en
dc.subject	neuro-fuzzy approximator	en
dc.subject	Lyapunov stability analysis	en
dc.subject	SISO nonlinear systems	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	NEURAL-NETWORK CONTROL	en
dc.subject.other	OUTPUT-FEEDBACK	en
dc.subject.other	STATE	en
dc.subject.other	LOGIC	en
dc.title	H infinity tracking of uncertain SISO nonlinear systems: an observer-based adaptive fuzzy approach	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Observer-based adaptive fuzzy H infinity control is proposed to achieve H infinity tracking performance for a class of nonlinear systems, which are subject to model uncertainty and external disturbances and in which only a measurement of the output is available. The control scheme is tested in the cart-pole balancing problem.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE	en
dc.identifier.isi	ISI:000246903600002	en
dc.identifier.volume	38	en
dc.identifier.issue	6	en
dc.identifier.spage	459	en
dc.identifier.epage	472	en