Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems

研究成果: 雜誌貢獻期刊論文同行評審

322 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)583-591
頁數9
期刊IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
29
發行號5
DOIs
出版狀態已發佈 - 1999

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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