An Optimal Estimation Framework of Multi-Agent Systems With Random Transport Protocol

被引：91

作者：

Ren, Hongru ^{[1
,2
]}

Wang, Yan ^{[3
,4
]}

Liu, Mei ^{[5
]}

Li, Hongyi ^{[1
,2
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China

[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

[4] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China

[5] Tianjin Univ, Sch Elect & Informat Engn, Dept Automat, Tianjin 300072, Peoples R China

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2022年 / 70卷

基金：

中国国家自然科学基金;

关键词：

Multi-agent systems; Transport protocols; State estimation; Protocols; Noise measurement; Estimation; Wireless sensor networks; Optimal estimation; multi-agent systems; random transport protocol; sensor network; MULTIPLE PACKET DROPOUTS; RANDOM-ACCESS PROTOCOL; RANDOM SENSOR DELAYS; NETWORKED SYSTEMS; KALMAN FILTER;

D O I：

10.1109/TSP.2022.3175020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The state estimation problem of heterogeneous multi-agent systems with random transport protocol is investigated in this paper. Due to the dependency of the agent dynamics and the random sparse structure induced by the random transport protocol, the optimal state estimation design becomes complex and challenging. An optimal state estimator is successfully designed by the Hadamard product and gradient method. Based on the analysis of the matrix functions, a sufficient condition is established to guarantee that the average estimate error covariance is limited. Finally, a numerical example and a smart grid model are utilized to demonstrate the effectiveness of the deigned estimator.

引用

页码：2548 / 2559

页数：12

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