Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2008.4738707
Title: Constrained linear system under disturbance feedback: Convergence with probability one
Authors: Wang, C. 
Ong, C.-J. 
Sim, M. 
Issue Date: 2008
Source: Wang, C.,Ong, C.-J.,Sim, M. (2008). Constrained linear system under disturbance feedback: Convergence with probability one. Proceedings of the IEEE Conference on Decision and Control : 2820-2825. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2008.4738707
Abstract: This paper considers a control parametrization under Model Predictive Control framework for constrained linear discrete time systems with bounded additive disturbances. Like the control parametrization in recent literature, the proposed parametrization uses affine disturbance feedback but includes an additional term. As a result, the parametrization has the same representative ability but has a different closed-loop convergence property. More exactly, the state of the closed-loop system converges to the minimal invariant set with probability one. Deterministic convergence to the same set is also possible if a less intuitive cost function is utilized. Numerical experiments are provided that validate the results. © 2008 IEEE.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/44249
ISBN: 9781424431243
ISSN: 01912216
DOI: 10.1109/CDC.2008.4738707
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