An approach of parameter estimation for a chaotic system based on genetic algorithm
一种基于遗传算法的混沌系统参数估计方法

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.