Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods

Siettos, CI; Bafas, GV

dc.contributor.author	Siettos, CI	en
dc.contributor.author	Bafas, GV	en
dc.date.accessioned	2014-03-01T01:18:20Z
dc.date.available	2014-03-01T01:18:20Z
dc.date.issued	2002	en
dc.identifier.issn	0165-0114	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14941
dc.subject	Design	en
dc.subject	Fuzzy control	en
dc.subject	Internal dynamics	en
dc.subject	Nonlinear systems	en
dc.subject	Semiglobal stabilization	en
dc.subject	Singular perturbation methods	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Lyapunov methods	en
dc.subject.other	Nonlinear systems	en
dc.subject.other	Perturbation techniques	en
dc.subject.other	Stability	en
dc.subject.other	Internal dynamics	en
dc.subject.other	Fuzzy control	en
dc.title	Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0165-0114(01)00136-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0165-0114(01)00136-1	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Singular perturbation methods based on a Lyapunov approach are implemented for the derivation of sufficient conditions for the semiglobal stabilization with output tracking of nonlinear systems having internal dynamics. The key idea of this approach lies in the decomposition of the full system into a subsystem exhibiting fast dynamics and to a subsystem with slow dynamics, resulting in a substantial simplification of the stability analysis. This two-time scale behavior is achieved by implementing a properly designed fuzzy logic controller, the key element of the proposed model-based composite controller. For the construction of the model-based controller, a new identification technique based on both classical and fuzzy tools is proposed. Results are presented for the semiglobal stabilization of a continuous stirred tank reactor, which is a process with high nonlinear behavior. (C) 2002 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Fuzzy Sets and Systems	en
dc.identifier.doi	10.1016/S0165-0114(01)00136-1	en
dc.identifier.isi	ISI:000176618000001	en
dc.identifier.volume	129	en
dc.identifier.issue	3	en
dc.identifier.spage	275	en
dc.identifier.epage	294	en