Identification Based on T-S Fuzzy Model for pH Neutralization Process

被引：0

作者：

shan, Zhou Shan ^{[1
]}

Ping, Li ^{[1
]}

liang, Duan Ming ^{[2
]}

机构：

[1] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun 113001, Peoples R China

[2] China Petroleum Engn Co Ltd Southwest Co, Chengdu 610017, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

pH neutralization process; Gustafson-Kessel clustering (GK); T-S fuzzy model; nonlinear plant;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 object's 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 finding a group of simple linear model and its' 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.

引用

页码：2919 / +

页数：2