%0 Journal Article
%T 未知输出反馈非线性时滞系统自适应神经网络跟踪控制
%A 陈为胜
%A 李俊民
%J 自动化学报
%P 799-803
%D 2005
%X ？Anadaptiveoutputfeedbackneuralnetworktrackingcontrollerisdesignedforaclassofunknownoutputfeedbacknonlineartime-delaysystemsbyusingbacksteppingtechnique.Neuralnetworksareusedtoapproximateunknowntime-delayfunctions.Delay-dependentfiltersareintroducedforstateestimation.Thedominationmethodisusedtodealwiththesmoothtime-delaybasisfunctions.Theadaptiveboundingtechniqueisemployedtoestimatetheupperboundoftheneuralnetworkreconstructionerror.BasedonLyapunov-Krasoviskiifunctional,thesemi-globaluniformultimateboundedness(SGUUB)ofallthesignalsintheclosed-loopsystemisproved.Thearbitraryoutputtrackingaccuracyisachievedbytuningthedesignparametersandtheneuralnodenumber.Thefeasibilityisinvestigatedbyanillustrativesimulationexample.
%K Nonlineartime-delaysystems
%K neuralnetwork
%K backstepping
%U http://www.aas.net.cn/CN/abstract/abstract15959.shtml