Optimal and suboptimal minimum-variance filtering in networked systems with mixed uncertainties of random sensor delays, packet dropouts and missing measurements

被引：0
|
作者：
Maryam Moayedi
Yung Kuan Foo
Yeng Chai Soh
机构：
[1] Nanyang Technological University,
[2] LW Electrical and Mechanical Engineering Private Limited,undefined
来源：
International Journal of Control, Automation and Systems | 2010年 / 8卷
关键词：
Minimum mean-square error estimation; missing measurements; networked control systems; sensor delays; packet dropouts; sensor networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1179 / 1188
页数：9
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