Suboptimal Linear Distributed Control-Estimation Synthesis for Stochastic Multi-Agent System

This paper considers the distributed cooperative control problem for a linear stochastic multi-agent system (MAS). The optimal cooperative control design for each agent is challenging due to the limited neighboring information, contingent upon the MAS network topology. A synthesized distributed cont...

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Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.119577-119588
Main Authors: Lee, Hojin, Kwon, Cheolhyeon
Format: Article
Language:English
Subjects:
Artificial neural networks
Control systems
Cooperative control
Costs
Decentralized control
Distributed control
Estimation
Multi-agent systems
Multiagent systems
Network topologies
Network topology
optimal control
Vectors
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Summary:This paper considers the distributed cooperative control problem for a linear stochastic multi-agent system (MAS). The optimal cooperative control design for each agent is challenging due to the limited neighboring information, contingent upon the MAS network topology. A synthesized distributed control-estimation framework is proposed to address the computationally tractable suboptimal solution. In particular, a distributed estimator extends MAS information beyond neighboring agents, allowing interactions with non-neighboring agents. The proposed control-estimation law is theoretically verified and further validated using numerical simulations.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3449874