Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/32063
Title: Adaptive fuzzy-neural sliding mode control for a class of uncertain nonlinear dynamical systems
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
M.-L. Chan
T.-T. Lee
Issue Date: 24-Mar-2001
Abstract: In 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.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/32063
Other Identifiers: ntnulib_tp_E0604_02_086
Appears in Collections:教師著作

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