A merged fuzzy-neural network and its application in fuzzy-neural control

I. Hsum Li*, Wei Yen Wang, Shun Feng Su, Ming Chang Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

This paper proposes an observer-based adaptive fuzzy-neural controller, structured by a merged fuzzy-neural network (merged-FNN) to reduce the number of adjustable parameters. In this paper, the merged-FNN is proved to take the place of the traditional fuzzy-neural networks under some assumptions. Moreover, the overall adaptive schemes using the proposed merged-FNN guarantees that all signals involved are bounded and the output of the closed-loop system asymptotically tracks the desired output trajectory. From experimental examples, the proposed merged-FNN has far fewer parameters than the traditional FNN, and the computation time is significantly reduced. To demonstrate the effectiveness of the proposed methods, simulation results are illustrated in this paper.

原文英語
主出版物標題2006 IEEE International Conference on Systems, Man and Cybernetics
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4529-4534
頁數6
ISBN(列印)1424401003, 9781424401000
DOIs
出版狀態已發佈 - 2006 一月 1
事件2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, 臺灣
持續時間: 2006 十月 82006 十月 11

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
6
ISSN(列印)1062-922X

其他

其他2006 IEEE International Conference on Systems, Man and Cybernetics
國家/地區臺灣
城市Taipei
期間2006/10/082006/10/11

ASJC Scopus subject areas

  • 工程 (全部)

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