Observer-based direct adaptive fuzzy-neural control for anti-lock braking systems

Guan Ming Chen, Wei-Yen Wang*, Tsu Tian Lee, C. W. Tao

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

12 引文 斯高帕斯(Scopus)

摘要

In this paper, an observer-based direct adaptive fuzzy-neural controller (ODAFNC) for an anti-lock braking system (ABS) is developed under the constraint that only the system output, i.e., the wheel slip ratio, is measurable. The main control strategy is to force the wheel slip ratio to well track the optimal value, which may vary with the environment. The observer-based output feedback control law and update law for on-line tuning of the weighting factors of the direct adaptive fuzzy-neural controller are derived. By using the strictly-positive-real (SPR) Lyapunov theory, the stability of the closed-loop system can be guaranteed. Simulation results demonstrate the effectiveness of the proposed control scheme for ABS control.

原文英語
頁(從 - 到)208-218
頁數11
期刊International Journal of Fuzzy Systems
8
發行號4
出版狀態已發佈 - 2006 十二月 1

ASJC Scopus subject areas

  • 軟體
  • 理論電腦科學
  • 計算機理論與數學
  • 人工智慧

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