论文部分内容阅读
利用混沌 (chaos)所特有的外在的随机性、遍历性及内在的规律性 ,将其应用于一类复杂非线性时变过程的模糊控制规则优化中 ,提出了一种基于混沌思维的算法来优化模糊规则参数 .通过仿真实例 ,表明了该算法具有较强的全局搜索能力和较快的搜索速度 ,是一种适用的优化策略 .
By using the external randomness, ergodicity and inherent regularity of chaos, this paper applies it to the optimization of fuzzy control rules for a class of complex nonlinear time-varying processes. An algorithm based on chaos is proposed To optimize the parameters of fuzzy rules.A simulation example shows that the algorithm has strong global search ability and fast search speed, which is a suitable optimization strategy.