A Distributed MPC scheme with Low Communication Requirements

In this work, we consider the problem of controlling two linear systems coupled through the inputs. We propose a novel distributed model predictive control method based on game theory in which two different agents communicate in order to find a cooperative solution to the centralized control problem. We assume that each agent only has partial information of the model and the state of the system. The class of systems considered arises naturally in multi-input multi-output processes in which a transfer function model is obtained using standard identification techniques. The performance and the robustness of the proposed control scheme with respect to data losses in the communications are illustrated by extensive simulations.