摘要
为了解决混沌系统的参数辨识问题,提出了一种融合参数估计理论、混沌理论和最优搜索优化思想为一体的CFS(CHAOTIC FISH-SWARM混沌鱼群)优化方法。通过构造合适的适应度函数,把该问题转化为未知参数的优化问题。数学仿真表明了该算法可以较好地解决混沌系统的参数辨识问题。
In order to solve the parameters estimation problem of chaotic system, an optimization method is presented, called CFS （chaotic FISH-SWARM） , it mix the knowledge of parameters estimation with chaos and searching for the optimal together, constructing a suitable fitness function. From this the parameters estimation prob- lem is converted to that of parameters optimization. Numerical simulations are provided to show the new algorithms is effectiveness to gain the parameters of chaotic system.
出处
《科学技术与工程》
北大核心
2013年第13期3525-3528,3541,共5页
Science Technology and Engineering
