摘要
通过构造一个适当的适应度函数 ,将混沌系统的参数估计问题转化为一个参数的寻优问题 ,然后利用遗传算法的全局优化搜索能力对其进行求解 .以典型的Lorenz混沌系统为例进行了数值模拟 .实际数值模拟表明 。
Through establishing an appropriate fitness function, the problem of parameter estimation for a chaotic system is transformed to that of parameter optimization. Then, the problem of parameter optimization is solved by using genetic algorithm with its capacity of global searching optimization. A numerical simulation on the typical Lorenz chaotic system is conducted. The results show that the proposed method is effective, accurate and robust against the presence of noise.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2002年第11期2459-2462,共4页
Acta Physica Sinica
基金
西安交通大学研究生院博士学位论文基金 (批准号 :DFXJTU2 0 0 1 4)资助的课题
