Paper Info
Title
Direct adaptive control via decomposed fuzzy Petri net
Abstract
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.
Year
DOI
Venue
2014
10.1109/SMC.2014.6974535
SMC
Keywords
DocType
ISSN
decomposed fuzzy Petri net,control tracking problem,decomposed fuzzy system,Petri nets,DFS,direct adaptive controller design,control system synthesis,fuzzy systems,adaptive control,component fuzzy systems,fuzzy control,fuzzy Petri net
Conference
1062-922X
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Shun-Feng Su1119497.62
Ming-Chang Chen2415.49
Yi-Hsing Chien3898.33
Wei-Yen Wang499587.40
Kuo-Kai Shyu539443.06