Distributed MPC: A Noncooperative Approach Based on Robustness Concepts

Abstract

The Distributed Predictive Control (DPC) algorithm presented in this chapter has been designed for control of an overall system made by linear discrete-time dynamically interconnected subsystems. It consists of a non-cooperative, non-iterative algorithm where a neighbor-to-neighbor transmission protocol is needed. The DPC algorithm enjoys the following properties: (i) state and input constraints can be considered; (ii) convergence is guaranteed; (iii) it is not necessary for each subsystem to know the dynamical models of the other subsystems; (iv) the transmission of information is limited. © Springer Science+Business Media Dordrecht 2014.