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基于遗传算法的动态模糊模型辨识非线性系统方法
引用本文:吴刚,童朝南,孙一康.基于遗传算法的动态模糊模型辨识非线性系统方法[J].北京科技大学学报,1999,21(3):301-303.
作者姓名:吴刚  童朝南  孙一康
作者单位:北京科技大学自动控制研究所,北京,100083
摘    要:针对复杂的动态系统,提出了一种基于遗传算法的模糊模型辨识方法,给出了学习模糊规则的新算法,探讨模糊推理方法和遗传学习算法用于非线性系统建模的问题,仿真结果证明了该算法的有效性。

关 键 词:非线性系统  模糊建模  遗传算法

New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System
Wu Gang,Tong Chaonan,Sun Yikang.New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System[J].Journal of University of Science and Technology Beijing,1999,21(3):301-303.
Authors:Wu Gang  Tong Chaonan  Sun Yikang
Abstract:Aimed at complex dynamic systems, a new method of dynamic fuzzy identification based on Genetic Algorithm is proposed. A new algorithm for learning fuzzy rules is given. Fuzzy inference systems and genetic learning algorithm are discussed to nonlinear system modeling .The simulation results show that this method has good effectiveness.
Keywords:nonlinear system  fuzzy modeling  genetic algorithm
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