Reference
D. Doan, T. Keviczky, I. Necoara, M. Diehl, and B. De Schutter, "A distributed
version of Han's method for DMPC using local communications only,"
Control Engineering and Applied Informatics, Special Issue on
Distributed Control in Networked Systems, vol. 11, no. 3, pp. 6-15, 2009.
Abstract
The study of Distributed Model Predictive Control (DMPC) for dynamically
coupled linear systems has so far typically focused on situations where
coupling constraints between subsystems are absent. In order to address the
presence of convex coupling constraints, we present a distributed version of
Han's parallel algorithm for a class of convex programs. The distributed
algorithm relies on local iterative updates only, instead of system-wide
information exchange as in Han's parallel algorithm. The new algorithm then
provides the basis for a distributed MPC method that is applicable to sparsely
coupled linear dynamical systems with coupled linear constraints. Convergence
to the global optimum, recursive feasibility, and stability are established
using only local communications between the subsystems.
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BibTeX
@article{DoaKev:09-025,
author = {Doan, Dang and Keviczky, Tam{\'a}s and Necoara, Ion and Diehl,
Moritz and De Schutter, Bart},
title = {A Distributed Version of {Han}'s Method for {DMPC} Using Local
Communications Only},
journal = {Control Engineering and Applied Informatics, \textnormal{Special
Issue on Distributed Control in Networked Systems}},
volume = {11},
number = {3},
pages = {6--15},
year = {2009}
}