Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2010.2041994
Title: Model predictive control using segregated disturbance feedback
Authors: Wang, C. 
Ong, C.-J. 
Sim, M. 
Keywords: Model predictive control (MPC)
Issue Date: 2010
Source: Wang, C., Ong, C.-J., Sim, M. (2010). Model predictive control using segregated disturbance feedback. IEEE Transactions on Automatic Control 55 (4) : 831-840. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2010.2041994
Abstract: This paper proposes a new control parametrization under the model predictive control (MPC) framework for constrained linear discrete-time systems with bounded disturbances. The proposed parametrization takes the form of a special piecewise affine disturbance feedback in an effort to reduce conservatism. It is a generalization of linear disturbance feedback parametrization, introduced in the recent literature. Numerical computations and stability properties of the resulting MPC problem using the proposed parametrization are discussed. When the disturbance set and the problem data satisfy mild assumptions, the associated finite-horizon optimization can be computed efficiently and exactly. The advantage of the proposed parametrization over linear disturbance feedback is illustrated via numerical examples. © 2006 IEEE.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/44223
ISSN: 00189286
DOI: 10.1109/TAC.2010.2041994
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