遗传算法的双线性模型参数辨识

GENETIC ALGORITHMS FOR IDENTIFICATION OF BILINEAR MODEL PARAMETERS

本文以遗传算法为基础 ,提出了一种辨识双线性离散动态系统模型参数的方法。该方法能够有效地克服噪声的污染 ,获得双线性系统参数的无偏估计值。应用该算法对双线性系统进行仿真表明 ,该方法辨识精度高 。

The paper based on genetic algorithms proposes a method for identification of bilinear discrete dynamic model parameters. Using the method, unbiased parameters of the bilinear system can be obtained when the output is corruputed by random noise uncorrelated with the input sinal. Simulations to the bilinear system show that the algorithms of identification have high precision and reliability.