Constrained linear system with disturbance: Convergence under disturbance feedback

This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive disturbances. The proposed approach has the same feasible domain as that obtained from parametrization over the family of time-varying state feedback policies. In addition, the closed-loop system is stable in the sense that the state converges to a bounded set that has a characterization determined by a feedback gain. Key words: Model Predictive Control; Disturbance Feedback, Constrained Systems with Disturbances

• Type: Journal
• Year: 2008
• Where: AUTOMATICA
• Authors: Chen Wang, Chong Jin Ong, Melvyn Sim
• Keywords: AUTOMATICA 2008, Disturbance-based Control Parametrization, Model Predictive Control, Predictive Control Framework