Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2007.4434607
Title: Model predictive control using affine disturbance feedback for constrained linear system
Authors: Wang, C.
Ong, C.J. 
Sim, M. 
Issue Date: 2007
Source: Wang, C.,Ong, C.J.,Sim, M. (2007). Model predictive control using affine disturbance feedback for constrained linear system. Proceedings of the IEEE Conference on Decision and Control : 1275-1280. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2007.4434607
Abstract: This paper proposes a control parametrization under Model Predictive Control framework for constrained linear discrete time systems with bounded additive disturbances. The proposed approach has the same feasible domain as that obtained from parametrization over the family of time-varying state feedback policies. Under the proposed control law, the closed-loop system is stable in the sense that the state converges, in time, to a bounded set that has a characterization determined by a feedback gain. ©2007 IEEE.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/44253
ISBN: 1424414989
ISSN: 01912216
DOI: 10.1109/CDC.2007.4434607
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Dec 13, 2017

Page view(s)

75
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.