Adaptive backstepping fuzzy control for a class of nonlinear systems

Yih-Guang Leu*, Jian You Lin

*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

1 引文 斯高帕斯(Scopus)

摘要

By using a nonlinear parametric fuzzy identifier, an adaptive backstepping controller is proposed for a class of nonlinear systems. The nonlinear parametric fuzzy identifier is capable of automatically learning its membership functions. Since the fuzzy identifier is highly nonlinear, the derivative computation burden is enormous. Thus, this paper uses an estimation technique to effectively alleviate the derivative computation burden, and demonstrates the applicability of the proposed scheme by using computer simulation.

原文英語
主出版物標題Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
頁面1123-1129
頁數7
版本PART 2
DOIs
出版狀態已發佈 - 2009 九月 10
事件6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, 中国
持續時間: 2009 五月 262009 五月 29

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
5552 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他6th International Symposium on Neural Networks, ISNN 2009
國家/地區中国
城市Wuhan
期間2009/05/262009/05/29

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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