基于遗传算法优化的模糊控制技术

    Fuzzy Control with Genetic Algorithm

    • 摘要: 在传统模糊控制的基础上,提出了一种基于遗传算法优化的自调整模糊控制算法.通过对模糊变量隶属函数参数编码优化,实现了模糊控制规则的在线自调整,并通过物理实验证实了算法的可行性.

       

      Abstract: This paper proposes an auto-adaptive fuzzy control algorithm that integrates the traditional fuzzy control methods with genetic algorithm optimizing the parameter-codes of fuzzy membership functions. The alforithm implements online adjustment of fuzzy control rules. The efficiency and flexibility of the algorithm have been shown by physical experiments.

       

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