Optimal design of TS fuzzy control system based on DNA-GA and its application

Authors:
Guangning Xu;Jinshou Yu
Affiliations:
Research Institute of Automation, East China University of Science and Technology, Shanghai, China;Research Institute of Automation, East China University of Science and Technology, Shanghai, China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

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Abstract

A TS fuzzy model modeling method is presented in this paper. The input parameters of the TS fuzzy model are identified via fuzzy c-means clustering method and the output parameters are optimized via DNA genetic algorithm. Finally, the proposed method is applied to build the soft sensing model for the yield of acrylonitrile. Examining results demonstrate the effectiveness of this method.