Distributed State Estimation for Linear Time-Invariant Systems With Aperiodic Sampled Measurement

Shimin WANG; Ya Jun PAN; Martin GUAY

doi:10.1109/TCNS.2024.3355041

Distributed State Estimation for Linear Time-Invariant Systems With Aperiodic Sampled Measurement

Shimin WANG
, Ya Jun PAN
, Martin GUAY^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

6 Citations (Scopus)

Abstract

This article deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent receives partial information of the system to be observed but does not satisfy the observability condition. Consequently, distributed observers are designed to exponentially estimate the state of the system to be observed by time-varying sampling and asynchronous communication. In addition, explicit upper bounds on allowable sampling periods for convergent estimation errors are given. Finally, a numerical example is provided to demonstrate the validity of the theoretical results.

Original language	English
Pages (from-to)	1835-1844
Number of pages	10
Journal	IEEE Transactions on Control of Network Systems
Volume	11
Issue number	4
Early online date	17 Jan 2024
DOIs	https://doi.org/10.1109/TCNS.2024.3355041
Publication status	Published - Dec 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

This work was supported in part by the MITACS and in part by the Natural Sciences and Engineering Research Council (NSERC), Canada.

Keywords

Distributed observers
jointly observable systems
linear time-invariant (LTI) systems
sampled-data control

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10.1109/TCNS.2024.3355041

Cite this

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title = "Distributed State Estimation for Linear Time-Invariant Systems With Aperiodic Sampled Measurement",

abstract = "This article deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent receives partial information of the system to be observed but does not satisfy the observability condition. Consequently, distributed observers are designed to exponentially estimate the state of the system to be observed by time-varying sampling and asynchronous communication. In addition, explicit upper bounds on allowable sampling periods for convergent estimation errors are given. Finally, a numerical example is provided to demonstrate the validity of the theoretical results.",

keywords = "Distributed observers, jointly observable systems, linear time-invariant (LTI) systems, sampled-data control",

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T1 - Distributed State Estimation for Linear Time-Invariant Systems With Aperiodic Sampled Measurement

AU - WANG, Shimin

AU - PAN, Ya Jun

AU - GUAY, Martin

PY - 2024/12

Y1 - 2024/12

N2 - This article deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent receives partial information of the system to be observed but does not satisfy the observability condition. Consequently, distributed observers are designed to exponentially estimate the state of the system to be observed by time-varying sampling and asynchronous communication. In addition, explicit upper bounds on allowable sampling periods for convergent estimation errors are given. Finally, a numerical example is provided to demonstrate the validity of the theoretical results.

AB - This article deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent receives partial information of the system to be observed but does not satisfy the observability condition. Consequently, distributed observers are designed to exponentially estimate the state of the system to be observed by time-varying sampling and asynchronous communication. In addition, explicit upper bounds on allowable sampling periods for convergent estimation errors are given. Finally, a numerical example is provided to demonstrate the validity of the theoretical results.

KW - Distributed observers

KW - jointly observable systems

KW - linear time-invariant (LTI) systems

KW - sampled-data control

UR - https://www.scopus.com/pages/publications/85182945872

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M3 - Journal Article (refereed)

AN - SCOPUS:85182945872

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EP - 1844

JO - IEEE Transactions on Control of Network Systems

JF - IEEE Transactions on Control of Network Systems

IS - 4

ER -

Distributed State Estimation for Linear Time-Invariant Systems With Aperiodic Sampled Measurement

Abstract

Bibliographical note

Funding

Keywords

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