On-Line Hybrid Intelligent Tracking Control for a Class of Nonaffine Multivariable Systems

Yi Hsing Chien, Wei-Yen Wang*, Yih-Guang Leu

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

4 引文 斯高帕斯(Scopus)

摘要

A novel B-spline neural backstepping controller design with mean-value approximation and first-order filters is proposed for a class of uncertain multiple-input-multiple-output nonaffine nonlinear systems. By combining the proposed systematic backstepping design technique with B-spline neural network structure, one not only has the improved tracking performance but also reduces the computation time. Moreover, using the proposed control scheme, the problems of higher-order derivative and complexity explosion can be solved. According to the stability analysis, it is proven that the tracking errors can be made small by tuning adjustable parameters appropriately. Finally, simulation results are provided to confirm the effectiveness and applicability of the proposed control scheme.

原文英語
頁(從 - 到)39-52
頁數14
期刊International Journal of Fuzzy Systems
17
發行號1
DOIs
出版狀態已發佈 - 2015 三月 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

指紋

深入研究「On-Line Hybrid Intelligent Tracking Control for a Class of Nonaffine Multivariable Systems」主題。共同形成了獨特的指紋。

引用此