Abstract
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.
Original language | English |
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Article number | 152202 |
Journal | Science China Information Sciences |
Volume | 66 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2023 |
Keywords
- data-driven control
- discrete-time MASs
- distributed control
- event-triggered control