| 引用本文: | 赵明旺.基于滤波技术的随机连续系统ELS辨识及其数值实现*[J].控制理论与应用,1998,15(3):438~442.[点击复制] |
| ZHAO Mingwang.ELS Identification and Its Numerical Realization for Stochastic Continuous Systems Based on Filtering Technique[J].Control Theory and Technology,1998,15(3):438~442.[点击复制] |
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| 基于滤波技术的随机连续系统ELS辨识及其数值实现* |
| ELS Identification and Its Numerical Realization for Stochastic Continuous Systems Based on Filtering Technique |
| 摘要点击 942 全文点击 543 投稿时间：1995-09-11 修订日期：1996-12-23 |
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| DOI编号 |
| 1998,15(3):438-442 |
| 中文关键词 随机连续系统 系统辨识 最小二乘法 常微分方程数值解 Wiener过程 |
| 英文关键词 stochastic continuous systems system identification least squares method numerical solu-tion of ordinary differential equations Wiener process |
| 基金项目 |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| 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 continu-ous 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. |