| 引用本文: | 王 武,杨富文,詹耀清.测量数据丢失的随机不确定离散系统的鲁棒H2状态估计[J].控制理论与应用,2008,25(3):439~445.[点击复制] |
| WANG Wu,YANG Fu-wen,ZHAN Yao-qing.Robust H-two state estimation for stochastic uncertain discrete-time system with missing measurements[J].Control Theory and Technology,2008,25(3):439~445.[点击复制] |
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| 测量数据丢失的随机不确定离散系统的鲁棒H2状态估计 |
| Robust H-two state estimation for stochastic uncertain discrete-time system with missing measurements |
| 摘要点击 1587 全文点击 1031 投稿时间：2006-12-26 修订日期：2007-06-18 |
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| DOI编号 |
| 2008,25(3):439-445 |
| 中文关键词 数据丢失 鲁棒H2滤波 凸多面体不确定 线性矩阵不等式 |
| 英文关键词 missing data robust H-two filtering polyhedral uncertainty LMI |
| 基金项目 国家自然科学基金资助项目(60474049, 60604027); 福建省自然科学基金资助项目(A0510009, 2007J0018). |
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| 中文摘要 |
| 由于频宽有限, 或者传感器临时损坏, 测量数据在网络中传输时可能会丢失. 本文对一类测量数据丢失的不确定离散系统, 研究了鲁棒H2状态估计问题. 所有的系统矩阵的参数都属于给定的凸多面体区域. 测量数据的丢失是随机发生的, 认为它是已知概率的Bernoulli随机序列. 对于所有容许的不确定和可能的数据丢失, 采用线性矩阵不等式方法, 给出了全阶和降阶的H2滤波器存在的充分条件. 数值仿真表明本文所提方法的有效性. |
| 英文摘要 |
| In the packet-based transmission of data over a network with limited bandwidth or temporary sensor failure, measurement data may be missing. The H-two filtering problem for an uncertain discrete-time system with missing measurement data is considered. The uncertain parameters in the system matrices are assumed to belong to a given convex bounded polyhedral domain. The occurrence of missing measurement data is random and is assumed to be a Bernoulli distributed sequence with known probability. Sufficient conditions are derived in terms of linear matrix inequalities (LMIs) for the existence of a full-and-reduced-order filter ensuring a prescribed H-two performance for all admissible uncertainties and the possible data missing. Numerical example is provided to demonstrate the feasibility of the proposed method. |