Direct adaptive control via decomposed fuzzy petri net

Shun Feng Su, Ming Chang Chen, Yi Hsing Chien, Wei Yen Wang, Kuo Kai Shyu

研究成果: 雜誌貢獻會議論文同行評審

1 引文 斯高帕斯(Scopus)


This paper presents a novel direct adaptive controller design via decomposed fuzzy Petri net to solve the control tracking problem. The controller combines decomposed fuzzy system (DFS) and Petri net to achieve good performance with less computation time. In the DFS structure, fuzzy variables are decomposed into several layers. DFS has been shown to have fast learning capability but with a complicated system structure. In this study, Petri net is employed to form a mechanism in constructing meaningful component fuzzy systems in the DFS so that the number of fuzzy components can be dramatically reduced without significantly degrading the modeling performance. Finally, the effectiveness of the proposed controller scheme is verified by simulation results.

頁(從 - 到)3873-3877
期刊Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
出版狀態已發佈 - 2014
事件2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, 美国
持續時間: 2014 10月 52014 10月 8

ASJC Scopus subject areas

  • 電氣與電子工程
  • 控制與系統工程
  • 人機介面


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