Self-organizing decentralized fuzzy neural net controller

Zong-Mu Yeh, Hung Pin Chen

研究成果: 會議貢獻類型會議論文同行評審

摘要

This paper presents a self-organizing decentralized learning controller using fuzzy control and neurocontrol for large-scale nonlinear systems. A new on-line unsupervised learning method which is based on a performance index of sliding mode control is used to train the fuzzy neural net controller to obtain control actions. To overcome the interactions between the subsystems, a learning algorithm is adopted to modify the control input to improve the system performance. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.

原文英語
頁面2179-2186
頁數8
出版狀態已發佈 - 1995 一月 1
事件Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
持續時間: 1995 三月 201995 三月 24

其他

其他Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
城市Yokohama, Jpn
期間1995/03/201995/03/24

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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