基于遗传算法的混沌系统多模型微扰控制

Multi-model solution for chaos control based on Genetic Algorithm

针对基于遗传算法的混沌系统多模型控制问题,为扩大控制器在吸引子中的作用范围,采用遗传算法引导混沌轨道的方法产生多模型控制策略,能使混沌系统在小的扰动作用下迅速从某一初始点到达目标点。对含有不确定参数的Henon混沌系统仿真表明,与其他方法相比能在更短的暂态时间内把系统控制到预定轨道。

Multi-model solution to chaos control based on Genetic Algorithm is studied. In order to increase the zone of effective control of the attractor, chaotic trajectory is directed by genetic algorithm that could create the law of the multi-model solution, and it can control rapidly chaotic process dominated by perturbation from starting point to aimed point. The simulation results show that the new method could control the Henon chaotic system with uncertainty toward its desired trajectory in less transient time than it used to be.