Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31972
Title: On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
Authors: 國立臺灣師範大學電機工程學系
Y.-G. Leu
T.-T. Lee
W.-Y. Wang
Issue Date: 1-Dec-1997
Publisher: IEEE Systems, Man, and Cybernetics Society
Abstract: The adaptive fuzzy-neural controllers tuned online for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31972
ISSN: 1083-4419
Other Identifiers: ntnulib_tp_E0604_01_050
Appears in Collections:教師著作

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