Kalman Filtering forWireless Networks Systems with Delayed-Missing Measurements

摘要：

The paper is concerned with the Kalman filtering problem for linear discrete-time network systems with delayed-missing measurements. The Kalman filter and the corresponding covariance matrix become stochastic, since the measurements are partial (or part or all of the measurements are lost). The re-organized innovation analysis approach is proposed to deal with such a problem, and the calculation of the filter involves two Riccati equations associated with two normal Kalman filter of a delay-free system. The Riccati equations have the same dimension as the system.

关键词： Network systems Kalman filtering Discrete-time systems Delayed measurements Missing measurement

作者: Xiao Lu Baodong Guo

作者单位: Key Laboratory for Robot & Intelligent Technology of Shandong Province Shandong University of Science and Technology Qingdao,266510,P.R.China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4682-4686

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）