Observer-based TS fuzzy control for a class of general nonaffine nonlinear systems using generalized projection-update laws

Wei Yen Wang*, Yi Hsing Chien, Tsu Tian Lee

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

47 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose an online observer-based TakagiSugeno (TS) fuzzy-output tracking-control technique and an improved generalized projection-update law for a class of general nonaffine nonlinear systems with unknown functions and external disturbances. First, a TS fuzzy model and a mean-value estimation technique are adopted to approximate a so-called virtual linearized system (VLS) of a real system and avoiding a high-order derivative problem, respectively. Second, a novel design concept combining the TS fuzzy controller, observer, and tuning algorithm by neural networks is proposed to improve system performance. After that, we also use improved generalized projection-update laws, which prevent parameters drift and confine adjustable parameters to the specified regions, to tune adjustable parameters. As a result, both the stability guarantee based on strictly positive real (SPR) Lyapunov theory and Barbalats lemma and the better tracking performance are concluded. To illustrate the effectiveness of the proposed TS fuzzy controller and observer-design methodology, numerical simulation results are given in this paper.

原文英語
文章編號5713834
頁(從 - 到)493-504
頁數12
期刊IEEE Transactions on Fuzzy Systems
19
發行號3
DOIs
出版狀態已發佈 - 2011 六月

ASJC Scopus subject areas

  • 控制與系統工程
  • 計算機理論與數學
  • 人工智慧
  • 應用數學

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