Distributed State Estimation of Linear Systems With Randomly Switching Communication Graphs

被引：0

作者：

Baum, Edwin ^{[1
]}

Liu, Zonglin ^{[1
]}

Stursberg, Olaf ^{[1
]}

机构：

[1] Univ Kassel, Control & Syst Theory, EECS, Kassel, Germany

来源：

IEEE CONTROL SYSTEMS LETTERS | 2024年 / 8卷

关键词：

Observers; Switches; Markov processes; Linear matrix inequalities; Linear systems; Estimation error; Convergence; Networked systems; distributed observation; time-varying graph; Markov process; observability; MULTIAGENT SYSTEMS; CONSENSUS;

D O I：

10.1109/LCSYS.2024.3414977

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter introduces two novel methods to synthesize distributed observers for time-varying communication graphs which are modeled as continuous-time Markov processes. The first method obtains all design parameters in a centralized step by solving a system of coupled LMI, while the second method utilizes an observability decomposition to design the parameters locally by partitioning into observable and unobservable system parts. For both methods, this letter provides sufficient conditions for the existence of distributed observers which asymptotically achieve omniscience almost surely. A numerical example to compare the two methods is provided in addition.

引用

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页码：1781 / 1786

页数：6

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