no code implementations • 6 Apr 2023 • Matthias Köhler, Matthias A. Müller, Frank Allgöwer
We show that under suitable assumptions, the agents can incrementally move their artificial output trajectories towards the cooperative goal, and, hence, their closed-loop output trajectories asymptotically achieve it.
no code implementations • 18 Oct 2022 • Matthias Köhler, Matthias A. Müller, Frank Allgöwer
We present a sequential distributed model predictive control (MPC) scheme for cooperative control of multi-agent systems with dynamically decoupled heterogeneous nonlinear agents subject to individual constraints.
no code implementations • 25 Feb 2022 • Matthias Köhler, Julian Berberich, Matthias A. Müller, Frank Allgöwer
In this paper, we present a data-driven distributed model predictive control (MPC) scheme to stabilise the origin of dynamically coupled discrete-time linear systems subject to decoupled input constraints.