Compact ant colony optimization algorithm based fuzzy neural network backstepping controller for MIMO nonlinear systems

Chao Kuang Chen, Yih Guang Leu, Wei Yen Wang, Chun Yao Chen

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

In this paper, a compact ant colony algorithm used to tune parameters of fuzzy-neural networks is proposed for function approximation and adaptive control of nonlinear systems. In adaptive control procedure for nonlinear systems, weights of the fuzzy neural controller are online adjusted by the compact ant algorithm in order to generate appropriate control input. For the purpose of evaluating the stability of the c1osed-loop systems, an energy fitness function is used in the ant algorithm. Finally, a computer simulation example demonstrates the feasibility and effectiveness of the proposed method.

原文英語
主出版物標題2010 International Conference on System Science and Engineering, ICSSE 2010
頁面146-149
頁數4
DOIs
出版狀態已發佈 - 2010 十月 11
事件2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, 臺灣
持續時間: 2010 七月 12010 七月 3

出版系列

名字2010 International Conference on System Science and Engineering, ICSSE 2010

其他

其他2010 International Conference on System Science and Engineering, ICSSE 2010
國家臺灣
城市Taipei
期間10/7/110/7/3

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

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  • 引用此

    Chen, C. K., Leu, Y. G., Wang, W. Y., & Chen, C. Y. (2010). Compact ant colony optimization algorithm based fuzzy neural network backstepping controller for MIMO nonlinear systems. 於 2010 International Conference on System Science and Engineering, ICSSE 2010 (頁 146-149). [5551754] (2010 International Conference on System Science and Engineering, ICSSE 2010). https://doi.org/10.1109/ICSSE.2010.5551754