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Conference article同行評審

摘要

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.

原文英語
文章編號6974535
頁(從 - 到)3873-3877
頁數5
期刊Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2014-January
發行號January
DOIs
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 十月 52014 十月 8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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