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Title: Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection update law and variable structure controller
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
Y.-G. Leu
C.-C. Hsu
Issue Date: 1-Feb-2001
Publisher: IEEE Systems, Man, and Cybernetics Society
Abstract: In this paper, a robust adaptive fuzzy-neural control scheme for nonlinear dynamical systems is proposed to attenuate the effects caused by unmodeled dynamics, disturbance, and modeling errors. A generalized projection update law, which generalizes the projection algorithm modification and the switching-σ adaptive law, is used to tune the adjustable parameters for preventing parameter drift and confining states of the system to the specified regions. Moreover, a variable structure control method is incorporated into the control law so that the derived controller is robust with respect to unmodeled dynamics, disturbances, and modeling errors. To demonstrate the effectiveness of the proposed method, several examples are illustrated in this paper
ISSN: 1083-4419�
Other Identifiers: ntnulib_tp_E0604_01_042
Appears in Collections:教師著作

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