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《Journal of System Simulation》 2007-03
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Fuzzy Identification Based on Improved T-S Fuzzy Model and Its Application for Thermal Process

YU Xi-ning, CHENG Feng-zhang, ZHU Li-ling, LIU Li (School of Control Science & Engineering, North China Electric Power University, Baoding 071003, China)  
Thermal processes generally contain nonlinearity and randomicity, and it is difficult to build the nonlinear models by the traditional method such as the transfer function, so the whole optimal control for thermal processes is impossible. A kind of method of fuzzy identification was proposed based on improved T-S model. The heuristic information and the multiplex nonlinear optimization were combined to configure the structure of fuzzy model, and the input data space was partitioned into some local regions based on entropy clusting and competitive learning algorithm, and then the T-S model for thermal process was built with weighted recursive least-square algorithm (WRLSA). The simulation results show that the proposed improved T-S model can describe the non-linearity of processes accurately, and the relevant algorithms are very simple and fast.
【CateGory Index】: TP301.6
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