摘要
介绍了一种基于遗传算法辨识线性离散系统参数的方法。为了提高算法的优化能力 ,将基本遗传算法和梯度法结合起来。仿真结果表明 ,改进的遗传算法辨识系统参数收敛到全局最优 ,且速度快 ,精度高 ,鲁棒性强。
In this paper,a system identification method based on improved genetic algorithm is introduced.In order to enhance optimal capability of algorithm,we combine the GA with the gradient method.Simulation shows that the parameters converge to global optimization with high speed,identification precision and robust.
出处
《自动化技术与应用》
2003年第1期8-10,共3页
Techniques of Automation and Applications
