Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2010.09.002
Title: Distributed model predictive control of dynamically decoupled systems with coupled cost
Authors: Wang, C. 
Ong, C.-J. 
Keywords: Distributed control
Model predictive control
Stability
Issue Date: 2010
Source: Wang, C., Ong, C.-J. (2010). Distributed model predictive control of dynamically decoupled systems with coupled cost. Automatica 46 (12) : 2053-2058. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2010.09.002
Abstract: This paper considers the distributed model predictive control (DMPC) of systems with interacting subsystems having decoupled dynamics and constraints but coupled costs. An easily-verifiable constraint is introduced to ensure asymptotic stability of the overall system in the absence of disturbance. The constraint introduced has a parameter which allows for the performance of the DMPC system to approach that controlled by a centralized model predictive controller. When the subsystems are linear and additive disturbance is present, the added constraint ensures the state of each subsystem converges to its respective minimal disturbance invariant set. The approach is demonstrated via several numerical examples. © 2010 Elsevier Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/59976
ISSN: 00051098
DOI: 10.1016/j.automatica.2010.09.002
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