Title :
A Novel Fuzzy Predictive Functional Control Based on T-S Fuzzy model
Author :
Chen Zengqiang ; Lin Xia ; Sun Qinglin ; Yuan Zhuzhi
Author_Institution :
Dept. of Autom., Nankai Univ., Tianjin, China
Abstract :
A method for identifying nonlinear systems is presented, which is based on fuzzy cluster and orthogonal least square method. First, the nonlinear dynamic systemic T-S fuzzy model with this method is identified. Then the predictive controller is designed based on this model. The simulation results indicates that the algorithm is effective and applied, which has the characteristics of fast tracking, high control precision and strong stability.
Keywords :
control system synthesis; fuzzy control; least squares approximations; nonlinear control systems; predictive control; stability; fuzzy clustering; fuzzy predictive functional control; model predictive control; nonlinear dynamic systemic T-S fuzzy model; orthogonal least square method; Automatic control; Automation; Electronic mail; Fuzzy control; Fuzzy systems; Least squares methods; Nonlinear control systems; Nonlinear systems; Predictive models; Sun; Fuzzy clustering; Fuzzy control; Model predictive control; Predictive functional control; T-S fuzzy model;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280606
