Optimal and Suboptimal Minimum-Variance Filtering in Networked Systems with Mixed Uncertainties of Random Sensor Delays, Packet Dropouts and Missing Measurements

作者：Moayedi Maryam^*; Foo Yung Kuan; Soh Yeng Chai

来源：International Journal of Control Automation and Systems, 2010, 8(6): 1179-1188.

DOI：10.1007/s12555-010-0603-z

• Minimum mean-square error estimation
• missing measurements networked control systems
• sensor delays
• packet dropouts
• sensor networks

In this paper the Kalman filtering problem for networked stochastic linear discrete-time systems with random measurement delays, packet dropouts and missing measurements is studied Based on a quasi Markov-chain approach, a unified/combined model is developed to accommodate random delay, packet dropout and missing measurement Two approaches for constructing a filter via the linear matrix inequality approach are proposed Simulation studies are then conducted to evaluate the effectiveness of the constructed estimators

• 出版日期2010-12
• 单位南阳理工学院