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Article: D-type learning control for nonlinear time-varying systems with unknown initial states and inputs

TitleD-type learning control for nonlinear time-varying systems with unknown initial states and inputs
Authors
KeywordsDesired Signal
Iterative Learning Control
Nonlinear System
Time-Varying
Issue Date2001
PublisherSage Publications Ltd. The Journal's web site is located at http://tim.sagepub.com
Citation
Transactions Of The Institute Of Measurement And Control, 2001, v. 23 n. 2, p. 69-82 How to Cite?
AbstractIn this paper, D-type iterative learning control schemes, which guarantee that the desired output is tracked precisely through iteration, are presented. Both off-line and on-line schemes are considered for a class of nonlinear systems. In both schemes, the learning gain may be time-varying and thus possesses larger scope for adjustment. Specifically, not only the input but also the initial state is iterated in the algorithms, and the output channel is fully nonlinear. Then, sufficient conditions are presented which guarantee the convergence of the proposed algorithms. The desired input and desired state are not assumed to be known a priori. Finally, the results are applied to a robotic system through simulation, which demonstrates the effectiveness of the method.
Persistent Identifierhttp://hdl.handle.net/10722/156573
ISSN
2015 Impact Factor: 0.82
2015 SCImago Journal Rankings: 0.468
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYan, XGen_US
dc.contributor.authorChen, IMen_US
dc.contributor.authorLam, Jen_US
dc.date.accessioned2012-08-08T08:43:02Z-
dc.date.available2012-08-08T08:43:02Z-
dc.date.issued2001en_US
dc.identifier.citationTransactions Of The Institute Of Measurement And Control, 2001, v. 23 n. 2, p. 69-82en_US
dc.identifier.issn0142-3312en_US
dc.identifier.urihttp://hdl.handle.net/10722/156573-
dc.description.abstractIn this paper, D-type iterative learning control schemes, which guarantee that the desired output is tracked precisely through iteration, are presented. Both off-line and on-line schemes are considered for a class of nonlinear systems. In both schemes, the learning gain may be time-varying and thus possesses larger scope for adjustment. Specifically, not only the input but also the initial state is iterated in the algorithms, and the output channel is fully nonlinear. Then, sufficient conditions are presented which guarantee the convergence of the proposed algorithms. The desired input and desired state are not assumed to be known a priori. Finally, the results are applied to a robotic system through simulation, which demonstrates the effectiveness of the method.en_US
dc.languageengen_US
dc.publisherSage Publications Ltd. The Journal's web site is located at http://tim.sagepub.comen_US
dc.relation.ispartofTransactions of the Institute of Measurement and Controlen_US
dc.subjectDesired Signalen_US
dc.subjectIterative Learning Controlen_US
dc.subjectNonlinear Systemen_US
dc.subjectTime-Varyingen_US
dc.titleD-type learning control for nonlinear time-varying systems with unknown initial states and inputsen_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.doi10.1191/014233101678575511en_US
dc.identifier.scopuseid_2-s2.0-0034915626en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034915626&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume23en_US
dc.identifier.issue2en_US
dc.identifier.spage69en_US
dc.identifier.epage82en_US
dc.identifier.isiWOS:000168335800001-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYan, XG=7403595938en_US
dc.identifier.scopusauthoridChen, IM=7402043226en_US
dc.identifier.scopusauthoridLam, J=7201973414en_US

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