Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31966
Title: Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H-inf. tracking performance
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
M.-L. Chan
T.-T. Lee
C.-H. Liu
Issue Date: 1-Dec-2000
Publisher: IEEE Systems, Man, and Cybernetics Society
Abstract: In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31966
ISSN: 1083-4419�
Other Identifiers: ntnulib_tp_E0604_01_044
Appears in Collections:教師著作

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