A robustly stabilizing model predictive control strategy of stable and unstable processes. (May 2016)

• Record Type: Journal Article
• Authors: Martins, Márcio A.F.; Odloak, Darci
• Is Part Of: Automatica. Volume 67(2016)
• Page Start: 132
• Page End: 143
• Publication Date: 2016-05
• Subjects: Model predictive control -- Unstable systems -- Robust stability; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2016.01.046
• Languages: English
• ISSNs: 0005-1098

Abstract

Abstract: This paper deals with the development of a robust model predictive control strategy with guarantee of stability, applicable to the stable and unstable processes. The model uncertainty is assumed to be described by a discrete set of linear models (multi-plant uncertainty), and the robustness is achieved by assembling cost-contracting constraints for all the possible models in the uncertainty domain. On the basis of a suitable state-space model description, an offset free control law is obtained by means of a one-step optimization formulation. The usefulness of the method proposed here is illustrated with control simulations of an unstable reactor system taken from the literature.