Data-Driven Strategies for Modal Consensus and Output Synchronization
Andrea Monti, Sergio Galeani, Corrado Possieri, Mario Sassano · IEEE Transactions on Control of Network Systems · 2023
In this paper, a control design strategy to achieve modal consensus and synchronization in a multi-agent system is envisioned. The proposed solution relies only on input/output data locally collected by each agent and does not require anya prioriknowledge of the underlying dynamics. Furthermore, while agreement on a prescribedmodal contentcan be achieved for any generic initial conditions of the agents, it is shown that the synchronization task requires instead to address the problem of transferring, in finite time, the state of a system from an initial state to a desired terminal state in a completely data-driven framework. This control problem, interestingper se, is therefore tackled and solved here. The above concepts are then illustrated by means of numerical case studies.