.png){kind=icon}
Return
Data-driven consensus control of fully distributed event-triggered multi-agent systems
.png){kind=icon}
PRE
AI
DOI：10.1007/s11432-022-3629-1.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
distributed control
event-triggered control
data-driven control
discrete-time MASs
Journal
IF:
7.6
Papers:
4.9K
Citations:
8.9K
Organization
Cited Papers
ShareSaveShareSaveRobust distributed adaptive consensus for discrete-time multiagent systems with uncertain topologies.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
ShareSaveSimultaneous cooperative relative localization and distributed formation control for multiple UAVs
PREAI
ShareSaveShareSave
View more