Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31969
Title: Observer-based adaptive fuzzy-neural control for unknown 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-Oct-1999
Publisher: IEEE Systems, Man, and Cybernetics Society
Abstract: In this paper, an observer-based adaptive fuzzy-neural controller for a class of unknown nonlinear dynamical systems is developed. The observer-based output feedback control law and update law to tune on-line the weighting factors of the adaptive fuzzy-neural controller are derived. The total states of the nonlinear system are not assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear dynamical systems are not restricted to the system output only. The overall adaptive scheme guarantees that all signals involved are bounded. Simulation results demonstrate the applicability of the proposed method in order to achieve desired performance
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31969
ISSN: 1083-4419�
Other Identifiers: ntnulib_tp_E0604_01_047
Appears in Collections:教師著作

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