Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
697078 | Automatica | 2012 | 9 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Marcello Farina, Riccardo Scattolini,