In this paper, we propose a data-driven control strategy to solve the distributed modal consensus and synchronization problems. The proposed solution relies only on input/output data and does not require any knowledge of the dynamics of each agent. Furthermore, it is shown that the synchronization task requires to address the problem of transferring, in finite time, the state of a system from an initial state to a terminal one in a completely data-driven framework, which is therefore tackled and solved here. The above concepts are then illustrated via a multi-agent system consisting of RC circuits.
Monti, A., Galeani, S., Possieri, C., Sassano, M. (2022). A data-driven approach to distributed modal consensus and synchronization. In Proceedings of the IEEE Conference on Decision and Control (pp.4853-4858). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/CDC51059.2022.9992981].
A data-driven approach to distributed modal consensus and synchronization
Monti A.;Galeani S.;Possieri C.;Sassano M.
2022-01-01
Abstract
In this paper, we propose a data-driven control strategy to solve the distributed modal consensus and synchronization problems. The proposed solution relies only on input/output data and does not require any knowledge of the dynamics of each agent. Furthermore, it is shown that the synchronization task requires to address the problem of transferring, in finite time, the state of a system from an initial state to a terminal one in a completely data-driven framework, which is therefore tackled and solved here. The above concepts are then illustrated via a multi-agent system consisting of RC circuits.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
