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• W2296720650 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." @default.
• W2296720650 created "2016-06-24" @default.
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• W2296720650 date "2016-05-01" @default.
• W2296720650 modified "2023-10-03" @default.
• W2296720650 title "A robustly stabilizing model predictive control strategy of stable and unstable processes" @default.
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• W2296720650 doi "https://doi.org/10.1016/j.automatica.2016.01.046" @default.
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