TY - JOUR
T1 - Direct adaptive control via decomposed fuzzy petri net
AU - Su, Shun Feng
AU - Chen, Ming Chang
AU - Chien, Yi Hsing
AU - Wang, Wei Yen
AU - Shyu, Kuo Kai
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Adaptive control
KW - Decomposed fuzzy system
KW - Fuzzy petri net
UR - http://www.scopus.com/inward/record.url?scp=84938125627&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938125627&partnerID=8YFLogxK
U2 - 10.1109/SMC.2014.6974535
DO - 10.1109/SMC.2014.6974535
M3 - Conference article
AN - SCOPUS:84938125627
SN - 1062-922X
VL - 2014-January
SP - 3873
EP - 3877
JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
IS - January
M1 - 6974535
T2 - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
Y2 - 5 October 2014 through 8 October 2014
ER -