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dc.contributor.authorWang, D.zh_CN
dc.contributor.authorLan, W. Y.zh_CN
dc.contributor.author兰维瑶zh_CN
dc.date.accessioned2013-12-12T02:49:17Z
dc.date.available2013-12-12T02:49:17Z
dc.date.issued2009-05-10zh_CN
dc.identifier.citationInternational Journal of Robust and Nonlinear Control, 2009,19(7):807-821zh_CN
dc.identifier.issn1049-8923zh_CN
dc.identifier.otherISI:000265541100005zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/70617
dc.descriptionNational Nature Science Foundation of China [60674037, 60704042]; Program for Liaoning Excellent Talents in Universityzh_CN
dc.description.abstractA neural network (NN)-based robust adaptive control design scheme is developed for a class of nonlinear systems represented by input-output models with an unknown nonlinear function and unknown time delay. By approximating on-line the unknown nonlinear functions with a three-layer feedforward NN, the proposed approach does not require the unknown parameters to satisfy the linear dependence condition. The control law is delay independent and possible controller singularity problem is avoided. It is proved that with the proposed neural control law, all the signals in the closed-loop system are semiglobally bounded in the presence of unknown time delay and unknown nonlinearity. A simulation example is presented to demonstrate the method. Copyright (C) 2008 John Wiley & Sons, Ltd.zh_CN
dc.language.isoen_USzh_CN
dc.source.urihttp://dx.doi.org/10.1002/rnc.1351zh_CN
dc.subjectOUTPUT-FEEDBACK CONTROLzh_CN
dc.subjectUNMODELED DYNAMICSzh_CN
dc.subjectNETWORK CONTROLzh_CN
dc.subjectTRACKINGzh_CN
dc.subjectPERFORMANCEzh_CN
dc.subjectSCHEMEzh_CN
dc.subjectDESIGNzh_CN
dc.subjectMODELSzh_CN
dc.titleAdaptive neural control for a class of uncertain nonlinear systems with unknown time delayzh_CN
dc.typeArticlezh_CN


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