Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2008.4587046
Title: Model predictive control using segregated disturbance feedback
Authors: Wang, C. 
Ong, C.-J.
Sim, M. 
Issue Date: 2008
Source: Wang, C.,Ong, C.-J.,Sim, M. (2008). Model predictive control using segregated disturbance feedback. Proceedings of the American Control Conference : 3566-3571. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2008.4587046
Abstract: This paper proposes a new control parametrization under Model Predictive Controller (MPC) framework for constrained linear discrete time systems with bounded additive disturbances. The parametrization takes the form of a piecewise affine disturbance feedback and is a generalization of the linear disturbance feedback proposed in the literature. Thus, performance of the resultant MPC controller may be improved. Properties and the numerical computations of the parametrization are discussed. Under mild assumptions of the disturbance set, the associated finite-horizon optimization can be computed efficiently. Stability of the closed-loop system with the proposed parametrization is also ensured. ©2008 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/44248
ISBN: 9781424420797
ISSN: 07431619
DOI: 10.1109/ACC.2008.4587046
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