Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2009.03.002
DC FieldValue
dc.titleConvergence properties of constrained linear system under MPC control law using affine disturbance feedback
dc.contributor.authorWang, C.
dc.contributor.authorOng, C.-J.
dc.contributor.authorSim, M.
dc.date.accessioned2013-10-09T06:18:54Z
dc.date.available2013-10-09T06:18:54Z
dc.date.issued2009
dc.identifier.citationWang, C., Ong, C.-J., Sim, M. (2009). Convergence properties of constrained linear system under MPC control law using affine disturbance feedback. Automatica 45 (7) : 1715-1720. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2009.03.002
dc.identifier.issn00051098
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44216
dc.description.abstractThis paper shows new convergence properties of constrained linear discrete time system with bounded disturbances under Model Predictive Control (MPC) law. The MPC control law is obtained using an affine disturbance feedback parametrization with an additional linear state feedback term. This parametrization has the same representative ability as some recent disturbance feedback parametrization, but its choice together with an appropriate cost function results in a different closed-loop convergence property. More exactly, the state of the closed-loop system converges to a minimal invariant set with probability one. Deterministic convergence to the same minimal invariant set is also possible if a less intuitive cost function is used. Numerical experiments are provided that validate the results. © 2009 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.automatica.2009.03.002
dc.sourceScopus
dc.subjectConstrained systems with disturbances
dc.subjectDisturbance feedback
dc.subjectModel predictive control
dc.subjectStability
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentDECISION SCIENCES
dc.contributor.departmentSINGAPORE-MIT ALLIANCE
dc.description.doi10.1016/j.automatica.2009.03.002
dc.description.sourcetitleAutomatica
dc.description.volume45
dc.description.issue7
dc.description.page1715-1720
dc.description.codenATCAA
dc.identifier.isiut000268415900015
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