Fuzzy predictive control based on T-S model

被引：0
|
作者：
Xing, Zong-Yi [1 ]
Hu, Wei-Li [1 ]
Jia, Li-Min [2 ]
机构：
[1] Department of Automatic, Nanjing University of Science and Technology, Nanjing 210094, China
[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
来源：
Kongzhi yu Juece/Control and Decision | 2005年 / 20卷 / 05期
关键词：
Computer simulation - Fuzzy sets - Matrix algebra - Nonlinear systems - Optimization - Quadratic programming - Time varying systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A fuzzy model based predictive control of nonlinear system is presented. T-S fuzzy model is identified by fuzzy clustering algorithm, and its parameters are self-learning online by selective recursive least square method. T-S model is linearized to be time-varying system, and thus nonlinear optimization problem is turned to a quadratic programming problem. Consequently, two major difficulties in nonlinear predictive control to obtain accurate nonlinear model and to solve nonlinear optimization problem online are solved. The simulation result on pH neutralization process shows the effectiveness of the proposed method.
引用
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页码：495 / 499
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