Optimal Distributed Filter for State and Unknown Input Estimations in Multi-Sensor Networks

被引：4

作者：

Peng, Zhaoxia ^{[1
]}

Zhang, Yingwen ^{[1
]}

Wen, Guoguang ^{[2
]}

Yang, Shichun ^{[1
]}

Huang, Tingwen ^{[3
]}

机构：

[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100083, Peoples R China

[2] Beijing Jiaotong Univ, Sch Math & Stat, Beijing 100044, Peoples R China

[3] Texas A&M Univ Qatar, Sci Program, Doha, Qatar

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2023年 / 70卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Asymptotic stability; distributed filter; multisensor network; state estimation; unknown input estimation; MULTIAGENT SYSTEMS; CONSENSUS;

D O I：

10.1109/TCSII.2023.3266760

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：

This brief is aimed at estimating the state and unknown input of a linear system in the multi-sensor network. First, a distributed filter consisting of the unknown input estimator and the state estimator is proposed, in which the unknown input estimator only uses its own information while the state estimator uses its in-neighbors' information. Second, the optimal gain matrices are obtained by employing the weighted least squares method and minimizing the performance function, which allow to realize the optimal unbiased estimation of the proposed filter. Third, a sufficient condition about the given filter's convergence is derived. Finally, a simulation is given for validating the given methodologies.

引用

页码：4128 / 4132

页数：5

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