Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection update law and variable structure controller

Wei Yen Wang*, Yih Guang Leu, Chen Chien Hsu

*此作品的通信作者

研究成果: 雜誌貢獻通訊期刊論文同行評審

54 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)140-147
頁數8
期刊IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
31
發行號1
DOIs
出版狀態已發佈 - 2001 二月 1

ASJC Scopus subject areas

  • 控制與系統工程
  • 軟體
  • 資訊系統
  • 人機介面
  • 電腦科學應用
  • 電氣與電子工程

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