Distributed and Localized Model Predictive Control. Part I: Synthesis and Implementation

Understand

The increasing presence of large-scale distributed systems highlights the need for scalable control strategies where only local communication is required.

• Moreover, in safety-critical systems it is imperative that such control strategies handle constraints in the presence of disturbances.
• In response to this need, we present the Distributed and Localized Model Predictive Control (DLMPC) algorithm for large-scale linear systems.
• DLMPC is a distributed closed-loop model predictive control (MPC) scheme wherein only local state and model information needs to be exchanged between subsystems for the computation and implementation of control actions.