基于遗传算法的闭环系统辨识方法

研究了有色噪声扰动下闭环系统辨识问题，并给出了基于遗传算法辨识闭环系统参数和时延的适应函数和实行步骤。利用该方法能够获得闭环系统参数的无偏估计，同时获得闭环系统的时延，并具有计算稳定无理鲁棒性强和辨识精度高等优点，仿真结果说明了该方法的有效性和使用性。

Identification of Closed-loop Systems Based on Genetic Algorithms

This paper studies the problem of identifying closed loop systems in the presence of colored noises.The fitness function and the implementation of the genetic algorithm for identifying delays and parameters of a closed loop system are given.Using The method,unbiased parameter estimates of the closed loop system and the delay can simultaneously be obtained.The method has the advantages of computational stability,robustness,and high accuracy identification.Simulation results show the method is very efficient and practical.