Reference
M. D. Doan, T. Keviczky, and B. De
Schutter, "A distributed optimization-based approach for hierarchical MPC of
large-scale systems with coupled dynamics and constraints,"
Proceedings of the 2011 50th IEEE Conference on Decision and Control
and European Control Conference (CDC-ECC), Orlando, Florida, pp.
5236-5241, Dec. 2011.
Abstract
We present a hierarchical MPC approach for large-scale systems based on dual
decomposition. The proposed scheme allows coupling in both dynamics and
constraints between the subsystems and generates a primal feasible solution
within a finite number of iterations, using primal averaging and a constraint
tightening approach. The primal update is performed in a distributed way and
does not require exact solutions, while the dual problem uses an approximate
subgradient method. Stability of the scheme is established using bounded
suboptimality.
Downloads
Extended version
- M. D. Doan, T. Keviczky, and B. De Schutter, "A distributed optimization-based approach for hierarchical model predictive control of large-scale systems with coupled dynamics and constraints: Extended report," Tech. report 11-039, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands, 8 pp., Aug. 2011. A short version of this paper has been published in the Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, Florida, pp. 5236-5241, Dec. 2011. (abstract, bibtex, report (pdf))
BibTeX
@inproceedings{DoaKev:11-039,
author = {Doan, Minh Dang and Keviczky, Tam{\'a}s and De Schutter, Bart},
title = {A Distributed Optimization-Based Approach for Hierarchical
{MPC} of Large-Scale Systems with Coupled Dynamics and
Constraints},
booktitle = {Proceedings of the 2011 50th IEEE Conference on Decision and
Control and European Control Conference (CDC-ECC)},
address = {Orlando, Florida},
pages = {5236--5241},
month = dec,
year = {2011}
}