Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities
Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities
复制标题
针对具有不确定缺失概率的多次缺失测量的时变非线性系统的基于事件的滤波
DOI：
10.1016/j.inffus.2017.03.003
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发表时间：
2017-11
影响因子：
18.6
通讯作者：
Hayat Tasawar
中科院分区：
文献类型：
--
作者：
Hu Jun;Wang Zidong;Alsaadi Fuad E.;Hayat Tasawar
This paper is concerned with the recursive filtering problem for a class of time-varying nonlinear stochastic systems in the presence of event-triggered transmissions and multiple missing measurements with uncertain missing probabilities. The measurements from different sensors may undergo the missing phenomena, which are characterized by a set of mutually independent Bernoulli random variables and the missing probabilities could be uncertain. In addition, the event-triggered transmission mechanism is introduced to reduce the network communication burden, where the current measurement is transmitted to the remote filter only when it changes greatly compared with the previous one. The aim of this paper is to design a time-varying filter such that, in the presence of the multiple missing measurements, event triggered transmission mechanism and stochastic nonlinearities, an upper bound of the filtering error covariance is obtained and then minimized by properly designing the filter gain. The explicit form of the filter gain is given in terms of the solutions to two recursive matrix equations. It is shown that the developed filtering scheme is of a recursive form applicable for the online computations. Finally, we provide two illustrative examples to demonstrate the feasibility and applicability of the developed event-triggered filtering scheme. (C) 2017 Elsevier B.V. All rights reserved.
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影响因子：
6.8
作者：
Zidong Wang;Bo Shen;H. Shu;G. Wei
通讯作者：
Zidong Wang;Bo Shen;H. Shu;G. Wei
DOI：
10.1109/cdc.2008.4738769
发表时间：
2008-12
期刊：
2008 47th IEEE Conference on Decision and Control
影响因子：
--
作者：
M. Basin;P. Shi;D. Calderon-Alvarez
通讯作者：
M. Basin;P. Shi;D. Calderon-Alvarez
DOI：
10.1016/j.sysconle.2012.01.005
发表时间：
2012-04
期刊：
Syst. Control. Lett.
影响因子：
--
作者：
Jun Hu;Zidong Wang;Huijun Gao;L. Stergioulas
通讯作者：
Jun Hu;Zidong Wang;Huijun Gao;L. Stergioulas
具有有限步相关噪声和丢包补偿的系统的最佳线性估计器
影响因子：
5.4
作者：
Sun, Shuli;Tian, Tian;Lin, Honglei
通讯作者：
Lin, Honglei
影响因子：
11.8
作者：
Hu, Wenfeng;Liu, Lu;Feng, Gang
通讯作者：
Feng, Gang