Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73382
Title: Dynamically decoupled non-linear systems with coupled cost: A distributed model predictive control approach
Authors: Wang, C. 
Ong, C.-J. 
Issue Date: 2011
Source: Wang, C.,Ong, C.-J. (2011). Dynamically decoupled non-linear systems with coupled cost: A distributed model predictive control approach. ASCC 2011 - 8th Asian Control Conference - Final Program and Proceedings : 1376-1380. ScholarBank@NUS Repository.
Abstract: This paper considers the distributed model predictive control (DMPC) of non-linear systems with interacting subsystems having decoupled dynamics and constraints but coupled costs. It is first proved that a non-linear system is locally input-to-state stable with respect to a bounded disturbance acting on the control if the undisturbed system is locally asymptotically stable. By using an appropriate control parametrization and imposing an easily-verifiable constraint, DMPC controllers are defined for each individual system. Based on the fist proved result, the overall system is shown to be stable in the sense that the states of every individual system converges to the origin as time tends to infinity. © 2011 Asian Control Association.
Source Title: ASCC 2011 - 8th Asian Control Conference - Final Program and Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/73382
ISBN: 9788995605646
Appears in Collections:Staff Publications

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

Page view(s)

13
checked on Dec 16, 2017

Google ScholarTM

Check


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