RBF neural network adaptive backstepping controllers for MIMO nonaffine nonlinear systems

Wei Yen Wang, Chin Ming Hong, Ming Feng Kuo, Yih Guang Leu, Tsu Tian Lee

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

This paper proposes a radial basis function neural network adaptive backstepping controller (RBFNN-ABC) for multiple-input multiple-output (MIMO) nonlinear systems in block-triangular form. The control scheme incorporates the adaptive neural backstepping design technique with a first-order filter at each step of the backstepping design to avoid the higher-order derivative problem, which is generated by the backstepping design. This problem may create an unpredictable and unfavorable influence on control performance because higher-order derivative term errors are introduced into the neural approximation model. Finally, simulation results demonstrate that the output tracking error between the plant output and the desired reference can be made arbitrarily small.

原文英語
主出版物標題Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
頁面4946-4951
頁數6
DOIs
出版狀態已發佈 - 2009
事件2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, 美国
持續時間: 2009 十月 112009 十月 14

其他

其他2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
國家/地區美国
城市San Antonio, TX
期間2009/10/112009/10/14

ASJC Scopus subject areas

  • 電氣與電子工程
  • 控制與系統工程
  • 人機介面

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