Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2008.02.011
Title: Constrained linear system with disturbance: Convergence under disturbance feedback
Authors: Wang, C. 
Ong, C.-J. 
Sim, M. 
Keywords: Constrained systems with disturbances
Disturbance feedback
Model predictive control
Issue Date: 2008
Source: Wang, C., Ong, C.-J., Sim, M. (2008). Constrained linear system with disturbance: Convergence under disturbance feedback. Automatica 44 (10) : 2583-2587. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2008.02.011
Abstract: 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. © 2008 Elsevier Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/44234
ISSN: 00051098
DOI: 10.1016/j.automatica.2008.02.011
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