Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller

Wei Yen Wang*, Yih Guang Leu, Tsu Tian Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)341-358
Number of pages18
JournalFuzzy Sets and Systems
Issue number2
Publication statusPublished - 2003 Dec 1
Externally publishedYes


  • Direct adaptive control
  • Fuzzy-neural control
  • Nonlinear systems
  • Output feedback control

ASJC Scopus subject areas

  • Logic
  • Artificial Intelligence


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