| 引用本文: | 王维平， 潘德惠.两种时变参数估计的自适应递推算法[J].控制理论与应用,1990,7(1):80~85.[点击复制] |
| Wang Weiping, Pan Dehui.Two Adaptive Recursive Algorithms for Estimating Time-varying Parameters[J].Control Theory and Technology,1990,7(1):80~85.[点击复制] |
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| 两种时变参数估计的自适应递推算法 |
| Two Adaptive Recursive Algorithms for Estimating Time-varying Parameters |
| 摘要点击 1183 全文点击 523 投稿时间：1988-04-29 修订日期：1989-06-20 |
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| DOI编号 |
| 1990,7(1):80-85 |
| 中文关键词 系统辨识 时变参数 检验方法 |
| 英文关键词 system identification time-varying parameters detection technique |
| 基金项目 |
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| 中文摘要 |
| 本文就参数呈快时变（包括阶跃变化）时系统辨识问题提出了两种在线自适应辨识算法。它们是通过参数时变检测对最小二乘递推算法进行适时校正得来的算法，并通过仿真与其它方法比较，验证了它们的有效性。 |
| 英文摘要 |
| This paper is about two simple adaptive identification algorithms for estimating time-varying parameters (including abrupt and smooth changes). A parameter variation detector and two kinds of adjustment to the estimate covariance matrix P(k) are proposed to embed in the Recursive Least Squares algorithm (RLS). A number of simulations are carried out to prove their validity and superiority in comparison with some other methods. |