DocumentCode :
2563512
Title :
Identification based on T-S fuzzy model for pH neutralization process
Author :
Shan, Zhou Shan ; Ping, Li ; Liang, Duan Ming
Author_Institution :
Sch. of Inf. & Control Eng., Liaoning Shihua Univ., Fushun
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
2919
Lastpage :
2922
Abstract :
In view of the difficult problem of modeling serious nonlinear pH neutralization process, a method of using the GK clustering algorithm and weighted least square method to build the objectpsilas local linear model is discussed. The T-S fuzzy model of the global linear time-varying plant is built through fuzzy weighted combination. So the problem of complicate nonlinear system identification is transformed into the problem of fording a group of simple linear model and itspsila corresponding fuzzy boundary by the method of T-S modeling based on GK clustering algorithm in order to define effective span. The simulation result shows the effectiveness of the clustering method.
Keywords :
fuzzy control; least squares approximations; pH control; time-varying systems; GK clustering algorithm; T-S fuzzy model; fuzzy weighted combination; global linear time-varying plant; nonlinear pH neutralization process; weighted least square method; Clustering algorithms; Clustering methods; Control engineering; Electronic mail; Fuzzy systems; Least squares methods; Nonlinear systems; Petroleum; Gustafson-Kessel clustering (GK); T-S fuzzy model; nonlinear plant; pH neutralization process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597858
Filename :
4597858
Link To Document :
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