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A Novel Fuzzy Predictive Functional Control Based on T-S Fuzzy model

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4 Author(s)
Chen Zengqiang ; Dept. of Autom., Nankai Univ., Tianjin, China ; Lin Xia ; Sun Qinglin ; Yuan Zhuzhi

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.

Published in:

Control Conference, 2006. CCC 2006. Chinese

Date of Conference:

7-11 Aug. 2006