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]. 工程科学学报, 1999, 21(3): 301-303. DOI: 10.13374/j.issn1001-053x.1999.03.024
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]. 工程科学学报, 1999, 21(3): 301-303. DOI: 10.13374/j.issn1001-053x.1999.03.024
Wu Gang, Tong Chaonan, Sun Yikang. New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System[J]. Chinese Journal of Engineering, 1999, 21(3): 301-303. DOI: 10.13374/j.issn1001-053x.1999.03.024
Citation: Wu Gang, Tong Chaonan, Sun Yikang. New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System[J]. Chinese Journal of Engineering, 1999, 21(3): 301-303. DOI: 10.13374/j.issn1001-053x.1999.03.024

基于遗传算法的动态模糊模型辨识非线性系统方法

New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System

  • 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.

     

    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.

     

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