國立臺灣師範大學電機工程學系W.-Y. WangM.-L. ChanT.-T. Lee2014-10-302014-10-302001-03-24http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32063In this paper, a novel design algorithm of adaptive fuzzy-neuralsliding mode control for a class of uncertain nonlinear dynamicalsystems is proposed to attenuate the effects caused by unmodeleddynamics, disturbances and approximate errors. Since fuzzy-neuralsystems can uniformly approximate nonlinear continuous functions toarbitrary accuracy, the adaptive fuzzy control theory is employed toderive the control law for a class of nonlinear system, with unknownnonlinear functions and disturbances. Moreover, the sliding modecontrol method is incorporated into the control law so that thederived controller is robust with respect to unmodeled dynamics,disturbances and approximate errors. To demonstrate the effectivenessof the proposed method, an example is illustrated in this paper.模糊類神經滑動式控制不確定非線性動態系統適應性控制Fuzzy Neural Sliding Mode ControlUncertain Nonlinear Dynamics SystemAdaptive Control