Reference
I. Alvarado, D. Limon, D. Muñoz de la Peña,
J. M. Maestre,
M. A. Ridao, H. Scheu, W. Marquardt,
R. R. Negenborn, B. De Schutter, F. Valencia,
and J. Espinosa, "A comparative analysis of distributed MPC techniques applied
to the HD-MPC four-tank benchmark,"
Journal of Process
Control, vol. 21, no. 5, pp. 800-815, June 2011.
Abstract
Recently, there has been a renewed interest in the development of distributed
model predictive control (MPC) techniques capable of inheriting the properties
of centralized predictive controllers, such as constraint satisfaction, optimal
control, closed-loop stability, etc. The objective of this paper is to design
and implement in a four-tank process several distributed control algorithms
that are under investigation in the research groups of the authors within the
European project HD-MPC. The tested controllers are centralized and
decentralized model predictive controllers schemes for tracking and several
distributed MPC schemes based on
(i) cooperative game
theory,
(ii) sensivity-based coordination mechanisms,
(iii) bargaining game theory, and
(iv) serial decomposition of the centralized problem. In
order to analyze the controllers, a control test is proposed and a number of
performance indices are defined. The experimental results of the benchmark
provide an overview of the performance and the properties of several
state-of-the-art distributed predictive controllers.
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BibTeX
@article{AlvLim:11-025,
author = {Alvarado, Ignacio and Limon, Daniel and Mu{\~{n}}oz de la
Pe{\~{n}}a, David and Maestre, Jos{\'{e}} M. and Ridao, Miguel A.
and Scheu, Holger and Marquardt, Wolfgang and Negenborn, Rudi R.
and De Schutter, Bart and Valencia, Felipe and Espinosa, Jairo},
title = {A Comparative Analysis of Distributed {MPC} Techniques Applied to
the {HD-MPC} Four-Tank Benchmark},
journal = {Journal of Process Control},
volume = {21},
number = {5},
pages = {800--815},
month = jun,
year = {2011}
}