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Data-driven consensus control of fully distributed event-triggered multi-agent systems
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Data-driven consensus control of fully distributed event-triggered multi-agent systems
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Journal Article
Data-driven consensus control of fully distributed event-triggered multi-agent systems
2023
Overview
This study investigates the consensus control issue in discrete-time linear multi-agent systems (MASs) using data-driven control under undirected communication networks. To alleviate the communication burden, an adaptive event-triggered control strategy involving only local information is proposed and a model-based stability condition is derived that guarantees the asymptotic consensus of MASs. Furthermore, a data-based consensus condition for unknown MASs is established by combining a data-based system representation with the model-based stability condition, using only pre-collected noisy input-state data instead of the accurate system information a priori. Specifically, both model-based and data-driven event-triggered controllers can be utilized without requiring any global information. The validity and correctness of the controllers and associated theoretical results are demonstrated via numerical simulations.
Publisher
Science China Press,Springer Nature B.V
