Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case

被引：14
作者：
Li, Jiaxing [1 ]
Hu, Jun [1 ,2 ,3 ]
Cheng, Jun
Wei, Yunliang [4 ,5 ]
Yu, Hui [2 ,3 ]
机构：
[1] Harbin Univ Sci & Technol, Dept Math, Harbin 150080, Peoples R China
[2] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
[3] Harbin Univ Sci & Technol, Heilongjiang Prov Key Lab Optimizat Control & Int, Harbin 150080, Peoples R China
[4] Guangxi Normal Univ, Coll Math & Stat, Guilin 541006, Peoples R China
[5] Qufu Normal Univ, Sch Math Sci, Qufu 273165, Shandong, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2022年 / 434卷
基金：
中国国家自然科学基金;
关键词：
Time-varying state-saturated systems; Distributed filtering; Packet disorders; Event-triggered communication mechanism; Boundedness analysis; SENSOR NETWORKS; NONLINEAR-SYSTEMS; SUBJECT; DESIGN; DELAYS;
D O I：
10.1016/j.amc.2022.127411
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper investigates the distributed filtering (DF) issue for a class of time-varying state-saturated systems with packet disorders (PDs) via the event-triggered communication mechanism (ETCM). The random transmission delays, which can be characterized by a set of random variables obeying certain probability distribution, cause the phenomenon of PDs. In addition, for the sake of decreasing the consumption of network resources, the ETCM is used to arrange the data transmission. On the basis of the measurable data information, a novel distributed filter is constructed that can ensure the existence of the upper bound matrix (UBM) regarding the filtering error (FE) covariance and then the trace of the presented UBM is minimized via constructing the suitable filter gain. Afterwards, the boundedness analysis of FE dynamics is provided to evaluate the filtering algorithm performance. Finally, the validity of the designed DF scheme is illustrated through a numerical experiment. (c) 2022 Elsevier Inc. All rights reserved.
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收藏
页数：14
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