| 引用本文: | 周露，吴瑶华，黄文虎，闻新.基于输出残差的自适应状态估计方法[J].控制理论与应用,1996,13(3):362~365.[点击复制] |
| ZHOU Lu，WU Yaohua，HUANG Wenhu and WEN Xin.Adaptive State Estimation Approach Based on Output Residuals[J].Control Theory and Technology,1996,13(3):362~365.[点击复制] |
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| 基于输出残差的自适应状态估计方法 |
| Adaptive State Estimation Approach Based on Output Residuals |
| 摘要点击 978 全文点击 490 投稿时间：1994-11-16 修订日期：1995-07-19 |
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| DOI编号 |
| 1996,13(3):362-365 |
| 中文关键词 自适应状态估计 卡尔曼滤波 稳态最优增益 输出残差 |
| 英文关键词 adaptive state estimation Kalman filter steady-state optimal gain output residuals |
| 基金项目 |
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| 中文摘要 |
| 本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法．首先利用输出残差给出了卡尔曼滤波增益马尔可夫参数估计，并且得到了卡尔曼滤波增益估计，然后解决了自适应状态估计问题．最后以仿真实例说明了此方法的有效性． |
| 英文摘要 |
| In this paper，based on output residuals，an efficient adaptive state estimation approach is presented for linear time-invariant discrete system. Firstly，using output residuals，the Kalman filter gain Markov parameters are estimated. Secondly the Kalman filter gain estimation is obtained. Thirdly，the adaptive state estimation problem is solved. Finally, simulation example is given to demonstrate the effectiveness of this method. |