Adaptive neural net controller design

Zong Mu Yeh*

*此作品的通信作者

研究成果: 會議貢獻類型會議論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper presents a stability method which is based on the stability condition of sliding mode control to derive learning law for neural net controllers (NNC) to ensure the convergence of the training algorithm and the stability of the closed-loop system. The proposed method is an on-line approach of a multilayered neural network which does not required any information about the system dynamics and the lengthy training of the controller might be eliminated by using the proposed approach. The simulation results of a nonlinear system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions of an interconnected system or external disturbances.

原文英語
頁面2586-2591
頁數6
出版狀態已發佈 - 1994 十二月 1
事件Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA
持續時間: 1994 六月 271994 六月 29

其他

其他Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)
城市Orlando, FL, USA
期間1994/06/271994/06/29

ASJC Scopus subject areas

  • 軟體

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