摘要
给出用 Haar小波对连续时间系统的鲁棒辨识方法。该方法在用 Haar小波对系统输入和输出展开时 ,通过极小化一个鲁棒指标来减少噪声对展开系数的影响 ,因此对连续时间系统可获得鲁棒参数估计。
By introducing the Haar wavelet, the system input and output are first expanded Haar wavelet series. Then the continuous time model of the system can be got by means of least square method. Meanwhile considering the existence of perturbations, a robust identification method by minimizing a robust criterion to reduce the effect of noise is presented. So this method can obtain robust parameter estimation for continuous time system model and the simulation shows its effectiveness.
出处
《控制与决策》
EI
CSCD
北大核心
2000年第3期297-300,共4页
Control and Decision
基金
国家自然科学基金项目!(6 98740 30 )
