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Article: Neural adaptive sliding mode control for a class of nonlinear neutral delay systems

TitleNeural adaptive sliding mode control for a class of nonlinear neutral delay systems
Authors
Issue Date2008
PublisherASME International. The Journal's web site is located at http://ojps.aip.org/ASMEJournals/DynamicSys/
Citation
Journal Of Dynamic Systems, Measurement And Control, Transactions Of The ASME, 2008, v. 130 n. 6, p. 0610111-0610117 How to Cite?
AbstractThis paper is concerned with the problem of sliding mode control (SMC) for a class of neutral delay systems with unknown nonlinear uncertainties that may not satisfy the norm-bounded condition. A SMC scheme based on neural-network approximation is proposed for the uncertain neutral delay system. By means of linear matrix inequality (LMI) approach, a sufficient condition is given such that the resultant closed-loop system is guaranteed to be stable, and the states asymptotically converge to zero. When the LMI is feasible, the designs of both the sliding surface and the sliding mode control law can be easily obtained via convex optimization. It is shown that the state trajectories are driven toward the specified sliding surface that depends on the current states as well as the delayed states. Finally, a simulation result is given to illustrate the effectiveness of the proposed method. Copyright © 2008 by ASME.
Persistent Identifierhttp://hdl.handle.net/10722/59107
ISSN
2015 Impact Factor: 0.975
2015 SCImago Journal Rankings: 0.680
ISI Accession Number ID
Funding AgencyGrant Number
RGCHKU 7028/04P
CityU Grant7001982
National Natural Science Foundation of China60674015
60674089
Shanghai Leading Academic Discipline ProjectB504
Funding Information:

The research was partially supported by RGC Grant HKU 7028/04P, CityU Grant 7001982, and National Natural Science Foundation of China under Grant Nos. 60674015 and 60674089 Shanghai Leading Academic Discipline Project (B504).

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorNiu, Yen_HK
dc.contributor.authorLam, Jen_HK
dc.contributor.authorWang, Xen_HK
dc.contributor.authorHo, DWCen_HK
dc.date.accessioned2010-05-31T03:42:59Z-
dc.date.available2010-05-31T03:42:59Z-
dc.date.issued2008en_HK
dc.identifier.citationJournal Of Dynamic Systems, Measurement And Control, Transactions Of The ASME, 2008, v. 130 n. 6, p. 0610111-0610117en_HK
dc.identifier.issn0022-0434en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59107-
dc.description.abstractThis paper is concerned with the problem of sliding mode control (SMC) for a class of neutral delay systems with unknown nonlinear uncertainties that may not satisfy the norm-bounded condition. A SMC scheme based on neural-network approximation is proposed for the uncertain neutral delay system. By means of linear matrix inequality (LMI) approach, a sufficient condition is given such that the resultant closed-loop system is guaranteed to be stable, and the states asymptotically converge to zero. When the LMI is feasible, the designs of both the sliding surface and the sliding mode control law can be easily obtained via convex optimization. It is shown that the state trajectories are driven toward the specified sliding surface that depends on the current states as well as the delayed states. Finally, a simulation result is given to illustrate the effectiveness of the proposed method. Copyright © 2008 by ASME.en_HK
dc.languageengen_HK
dc.publisherASME International. The Journal's web site is located at http://ojps.aip.org/ASMEJournals/DynamicSys/en_HK
dc.relation.ispartofJournal of Dynamic Systems, Measurement and Control, Transactions of the ASMEen_HK
dc.titleNeural adaptive sliding mode control for a class of nonlinear neutral delay systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0022-0434&volume=130&issue=6&spage=061011, 7 pages&epage=&date=2008&atitle=Neural+adaptive+sliding+mode+control+for+a+class+of+nonlinear+neutral+delay+systemsen_HK
dc.identifier.emailLam, J:james.lam@hku.hken_HK
dc.identifier.authorityLam, J=rp00133en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1115/1.2977462en_HK
dc.identifier.scopuseid_2-s2.0-56549086813en_HK
dc.identifier.hkuros164160en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-56549086813&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume130en_HK
dc.identifier.issue6en_HK
dc.identifier.spage0610111en_HK
dc.identifier.epage0610117en_HK
dc.identifier.isiWOS:000259967700011-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectSynthesis Techniques for Multidimensional Dynamic Systems with Delay and Stochastic Effects-
dc.identifier.scopusauthoridNiu, Y=7202225475en_HK
dc.identifier.scopusauthoridLam, J=7201973414en_HK
dc.identifier.scopusauthoridWang, X=8885333800en_HK
dc.identifier.scopusauthoridHo, DWC=7402971938en_HK

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