Reference
A. Núñez, C. Ocampo-Martinez,
J. M. Maestre, and B. De Schutter, "Time-varying
scheme for noncentralized model predictive control of large-scale systems,"
Mathematical Problems in Engineering, vol. 2015, 17
pp., 2015. Article ID 560702.
Abstract
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper
refers to any distributed, hierarchical, or decentralized model predictive
controller (or a combination of them) the structure of which can change over
time and the control actions of which are not obtained based on a centralized
computation. Within this framework, we propose suitable on-line methods to
decide which information is shared and how this information is used between the
different local predictive controllers operating in a decentralized,
distributed, and/or hierarchical way. Evaluating all the possible structures of
the NC-MPC controller leads to a combinatorial optimization problem. Therefore,
we also propose heuristic reduction methods, to keep tractable the number of
NC-MPC problems to be solved. To show the benefits of the proposed framework, a
case study of a set of coupled water tanks is presented.
Publisher page
Downloads
BibTeX
@article{NunOca:15-040,
author = {N{\'{u}}{\~{n}}ez, Alfredo and Ocampo-Martinez, Carlos and
Maestre, Jos{\'{e}} M. and De Schutter, Bart},
title = {Time-Varying Scheme for Noncentralized Model Predictive Control
of Large-Scale Systems},
journal = {Mathematical Problems in Engineering},
volume = {2015},
year = {2015},
note = {Article ID 560702}
}