Optimization of parameters in fuzzy controller in dynamic evolutionary algorithm
.动力学演化算法的模糊控制器多参数优化*

Fuzzy control is a non-linear control method and the performance of it is mainly based on fuzzy control-rules.However, there are many flaws of traditional technique that based on expert's experience to design the control-rules which cannot be adjusted dynamic.The measure-parameter and scale-parameter whose selection based on experience also cannot ensure a better result of control.This paper advanced a new method to select these parameters depends on dynamic evolutionary algorithm(DEA).Simulation experiment indicates its availability and excellent control effect.