关键词: T-S模型, 结构辨识, 参数辨识, 支持向量机, 遗传算法

Abstract: T-S model is sum of linear subsystems and its weight product, which is able of approaching arbitrary nonlinear systems. T-S model global optimal identification scheme is presented based on Genetic Algorithm（GA） and Support Vector Machine（SVM）. Structure and parameter identification of T-S model is realized by GA at the same time. Evaluation function is structure risk minimum, which considers model complexity and identification error. The algorithm advantages are high precision and good generalization of identification. The simulation result illustrates the effectiveness of the proposed method.

Key words: T-S model, structure identification, parameter identification, Support Vector Machine（SVM）, Genetic Algorithm（GA）