Robust and Stochastic MPC for tracking: a performance comparison.

D'JORGE, AGUSTINA; ANDERSON, ALEJANDRO; GONZÁLEZ, ALEJANDRO HERNÁN; FERRAMOSCA, ANTONIO

Congreso; XXVIº Congreso Argentino de Control Automático; 2018

Model Predictive Control (MPC) is the most usedadvanced control strategy in the industries, taking into account adynamic simplified model of the plant, constraints, and stabilityrequirements. The goal of this work is compared a robustformulation of the MPC for tracking with a stochastic one, forthe case of linear systems with additive bounded disturbances.An illustrative example shows the properties of theses controllers