Fully Distributed Output Regulation of Linear Discrete-Time Multi-Agent Systems With Markov Switching Topology

This paper studies the stochastic cooperative output regulation problem for linear discrete-time multi-agent systems (MASs) with Markov switching topologies and communication/input delays. First, a moment stability criterion for an interconnected time-homogeneous Markov jump linear systems is builded. Then, based on the moment stability criterion, a fully distributed output regulation protocol is designed to solve the stochastic cooperative output regulation problem successively. Finally, a numerical simulation is provided to validate the efficiency of the designed protocol.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-05-02
DOI
https://doi.org/10.1109/tcsi.2025.3564113
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

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article

Fully Distributed Output Regulation of Linear Discrete-Time Multi-Agent Systems With Markov Switching Topology

Zhao‐Yan Li, Jiamin Liu, Bin Zhou
1 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Distributed Control Multi-Agent Systems
1.49
article

Fully Distributed Output Regulation of Linear Discrete-Time Multi-Agent Systems With Markov Switching Topology

Zhao‐Yan Li, Jiamin Liu, Bin Zhou
article en
1 citations

Abstract

This paper studies the stochastic cooperative output regulation problem for linear discrete-time multi-agent systems (MASs) with Markov switching topologies and communication/input delays. First, a moment stability criterion for an interconnected time-homogeneous Markov jump linear systems is builded. Then, based on the moment stability criterion, a fully distributed output regulation protocol is designed to solve the stochastic cooperative output regulation problem successively. Finally, a numerical simulation is provided to validate the efficiency of the designed protocol.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(11)
Jimei University (CN), Harbin Institute of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 18%
Distributed Control Multi-Agent Systems
1.49
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