Please use this identifier to cite or link to this item:
|Title:||Convergence properties of constrained linear system under MPC control law using affine disturbance feedback|
|Authors:||Wang, C. |
|Keywords:||Constrained systems with disturbances|
Model predictive control
|Citation:||Wang, 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|
|Abstract:||This 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.|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 19, 2018
WEB OF SCIENCETM
checked on Sep 10, 2018
checked on May 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.