摘要
本文对低阶扰动模型,讨论滤波器的选取,从而通过对输入输出滤波,使辨识随机连续系统的连续ELS(增广最小二乘)法一致收敛的SPR条件得到满足.基于数值积分和常微分方程数值解,文中还讨论ELS辨识的两种数值实现.仿真结果显示本文方法的有效性.
For the low-order disturbance model,how to choose the filter is discussed in this paper,so that the SPR condition of the consistently convergence of the continuous ELS identification for stochastic continuous systmes based on filtering of the input and output is satisfied. Then two kinds of numerical realizations of the ELS method are given based on the numerical integral and the numerical solution for ordinary differential equations. Simulation results show the effectiveness of these realization methods.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1998年第3期438-442,共5页
Control Theory & Applications
基金
冶金工业部理论研究基金
关键词
随机连续系统
系统辨识
最小二乘法
WIENER过程
stochastic continuous systems
system identification
least squares method
numerical solution of ordinary differential equations
Wiener process