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Article: Sliding-mode control for nonlinear state-delayed systems using neural-network approximation

TitleSliding-mode control for nonlinear state-delayed systems using neural-network approximation
Authors
Issue Date2003
PublisherThe Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-CTA
Citation
Iee Proceedings: Control Theory And Applications, 2003, v. 150 n. 3, p. 233-239 How to Cite?
AbstractThe sliding-mode control problem is studied for a class of state-delayed systems with mismatched parameter uncertainties, unknown nonlinearities and external disturbances. By integrating neural-network approximation and the Lyapunov theory into the sliding-mode technique, a neural-network-based sliding-mode control scheme is proposed. The major advantage of the present work over traditional sliding-mode designs is the relaxation of the requirement that the unknown nonlinearities are to be bounded. By means of linear matrix inequalities, a sufficient condition for ensuring the asymptotic stability of the sliding-mode dynamics restricted to the defined sliding surface is given. Further, by utilising a neural-network model to approximate the unknown nonlinearity, a sliding-mode control scheme is proposed to guarantee that the system state trajectory is attracted to the designed sliding surface.
Persistent Identifierhttp://hdl.handle.net/10722/156669
ISSN
2008 Impact Factor: 2.106
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNiu, Yen_US
dc.contributor.authorLam, Jen_US
dc.contributor.authorWang, Xen_US
dc.contributor.authorHo, DWCen_US
dc.date.accessioned2012-08-08T08:43:28Z-
dc.date.available2012-08-08T08:43:28Z-
dc.date.issued2003en_US
dc.identifier.citationIee Proceedings: Control Theory And Applications, 2003, v. 150 n. 3, p. 233-239en_US
dc.identifier.issn1350-2379en_US
dc.identifier.urihttp://hdl.handle.net/10722/156669-
dc.description.abstractThe sliding-mode control problem is studied for a class of state-delayed systems with mismatched parameter uncertainties, unknown nonlinearities and external disturbances. By integrating neural-network approximation and the Lyapunov theory into the sliding-mode technique, a neural-network-based sliding-mode control scheme is proposed. The major advantage of the present work over traditional sliding-mode designs is the relaxation of the requirement that the unknown nonlinearities are to be bounded. By means of linear matrix inequalities, a sufficient condition for ensuring the asymptotic stability of the sliding-mode dynamics restricted to the defined sliding surface is given. Further, by utilising a neural-network model to approximate the unknown nonlinearity, a sliding-mode control scheme is proposed to guarantee that the system state trajectory is attracted to the designed sliding surface.en_US
dc.languageengen_US
dc.publisherThe Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-CTAen_US
dc.relation.ispartofIEE Proceedings: Control Theory and Applicationsen_US
dc.titleSliding-mode control for nonlinear state-delayed systems using neural-network approximationen_US
dc.typeArticleen_US
dc.identifier.emailLam, J:james.lam@hku.hken_US
dc.identifier.authorityLam, J=rp00133en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1049/ip-cta:20030321en_US
dc.identifier.scopuseid_2-s2.0-0038198819en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0038198819&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume150en_US
dc.identifier.issue3en_US
dc.identifier.spage233en_US
dc.identifier.epage239en_US
dc.identifier.isiWOS:000183698800004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridNiu, Y=7202225475en_US
dc.identifier.scopusauthoridLam, J=7201973414en_US
dc.identifier.scopusauthoridWang, X=8885333800en_US
dc.identifier.scopusauthoridHo, DWC=7402971938en_US

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