Reference
D. Doan, T. Keviczky, I. Necoara, M. Diehl, and B. De Schutter, "A distributed
version of Han's method for DMPC of dynamically coupled systems with coupled
constraints,"
Proceedings of the 1st IFAC Workshop on
Estimation and Control of Networked Systems (NecSys 2009), Venice,
Italy, pp. 240-245, Sept. 2009.
Abstract
Most of the literature on Distributed Model Predictive Control (DMPC) for
dynamically coupled linear systems typically focuses 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 algorithm we
propose relies on local iterative updates only, instead of using system-wide
information exchange as in Han's original algorithm. The new algorithm is then
used to develop a new 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 can be established
using only local communications between the subsystems.
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BibTeX
@inproceedings{DoaKev:09-034,
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} of
Dynamically Coupled Systems with Coupled Constraints},
booktitle = {Proceedings of the 1st IFAC Workshop on Estimation and Control
of Networked Systems (NecSys 2009)},
address = {Venice, Italy},
pages = {240--245},
month = sep,
year = {2009}
}