Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31960
Title: Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural control
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
Y.-G. Leu
T.-T. Lee
Issue Date: 1-Dec-2003
Publisher: the International Fuzzy Systems Association�
Abstract: In this paper, a direct adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system output is available for measurement. An output feedback control law and an update law are derived for on-line tuning the weighting factors of the DAFOC. By using strictly positive-real Lyapunov theory, the stability of the closed-loop system compensated by the DAFOC can be verified. Moreover, the proposed overall control scheme guarantees that all signals involved are bounded and the output of the closed-loop system asymptotically tracks the desired output trajectory. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31960
ISSN: 0165-0114
Other Identifiers: ntnulib_tp_E0604_01_038
Appears in Collections:教師著作

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