Please use this identifier to cite or link to this item:
|Title:||Constrained linear system under disturbance feedback: Convergence with probability one|
|Authors:||Wang, C. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 9, 2018
checked on Dec 15, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.