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自动化学报 2005
未知输出反馈非线性时滞系统自适应神经网络跟踪控制, PP. 799-803 Keywords: Nonlineartime-delaysystems,neuralnetwork,backstepping Abstract: ？Anadaptiveoutputfeedbackneuralnetworktrackingcontrollerisdesignedforaclassofunknownoutputfeedbacknonlineartime-delaysystemsbyusingbacksteppingtechnique.Neuralnetworksareusedtoapproximateunknowntime-delayfunctions.Delay-dependentfiltersareintroducedforstateestimation.Thedominationmethodisusedtodealwiththesmoothtime-delaybasisfunctions.Theadaptiveboundingtechniqueisemployedtoestimatetheupperboundoftheneuralnetworkreconstructionerror.BasedonLyapunov-Krasoviskiifunctional,thesemi-globaluniformultimateboundedness(SGUUB)ofallthesignalsintheclosed-loopsystemisproved.Thearbitraryoutputtrackingaccuracyisachievedbytuningthedesignparametersandtheneuralnodenumber.Thefeasibilityisinvestigatedbyanillustrativesimulationexample.
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