Run-time efficient observer-based fuzzy-neural controller for nonaffine multivariable systems with dynamical uncertainties

Yi Hsing Chien, Wei Yen Wang*, Chen Chien Hsu

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel hierarchical structure with run-time efficiency is developed to solve the rule explosion problem of fuzzy-neural network control for a class of uncertain nonaffine multivariable systems. The parameters of the hybrid adaptive controller are on-line tuned by the derived update laws under the constraint that only system outputs are available for measurement. Compared with the previous approaches, the proposed design process is more flexible and requires less computation time. According to the stability analysis, the overall control scheme guarantees that the closed-loop systems can obtain successful system control, effective state observer, and desired tracking performance. Finally, illustrative examples are provided to show the effectiveness of the proposed approach.

原文英語
頁(從 - 到)1-26
頁數26
期刊Fuzzy Sets and Systems
302
DOIs
出版狀態已發佈 - 2016 十一月 1

ASJC Scopus subject areas

  • 邏輯
  • 人工智慧

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