Design of fuzzy sliding controller based on cerebellar learning model

Heng Kang Fan, Chih Ming Chen, Chin Ming Hong

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

As to the control of fuzzy sliding mode, this paper proposes a cerebellar learning model for on-line learning of the controller. Fuzzy sliding mode has excellent robustness to the system uncertainty and immunity to the noise of the external noise. As for the cerebellar learning mode, it possesses the advantages of easy and fast correction. The combination of the two leads to the design of a fuzzy sliding mode controller with self-learning capability to improve the short-comings of difficulties in setting up the regulations of fuzzy control. It also improves the system stability and enhances the effectiveness of the controller.This paper describes the implementation of a fuzzy sliding controller with cerebellar learning mode. After system simulation and capability test, it is applied to the control of slew-up, stand-on and positioning of a 360 ° inverted pendulum.

原文英語
主出版物標題Multiple Approaches to Intelligent Systems - 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 1999, Proceedings
編輯Ibrahim Imam, Yves Kodratoff, Ayman El-Dessouki, Moonis Ali
發行者Springer Verlag
頁面64-73
頁數10
ISBN(列印)3540660763, 9783540660767
DOIs
出版狀態已發佈 - 1999
事件12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999 - Cairo, 埃及
持續時間: 1999 5月 311999 6月 3

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1611
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1999
國家/地區埃及
城市Cairo
期間1999/05/311999/06/03

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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