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

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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


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