Journal
AUTOMATICA
Volume 48, Issue 6, Pages 1088-1096Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2012.03.020
Keywords
Distributed control; Model predictive control; Large-scale MPC; Non cooperative algorithms; Robust model predictive control
Funding
- European 7th framework STREP project [INFSO-ICT-223854]
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This paper presents a novel Distributed Predictive Control (DPC) algorithm for linear discrete-time systems. This method enjoys the following properties: (i) state and input constraints can be considered; (ii) under mild assumptions, convergence of the closed loop control system is proved; (iii) it is not necessary for each subsystem to know the dynamical models of the other subsystems; (iv) the transmission of information is limited, in that each subsystem only needs the reference trajectories of the state variables of its neighbors. A simulation example is reported to illustrate the main characteristics and performance of the algorithm. (C) 2012 Elsevier Ltd. All rights reserved.
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