基于遺傳算法的動態模糊模型辨識非線性系統方法
New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System
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摘要: 針對復雜的動態系統,提出了一種基于遺傳算法的模糊模型辨識方法,給出了學習模糊規則的新算法,探討模糊推理方法和遺傳學習算法用于非線性系統建模的問題.仿真結果證明了該算法的有效性.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.