Reference
Z. Lukszo,
M. P. C. Weijnen,
R. R. Negenborn, and B. De Schutter, "Tackling
challenges in infrastructure operation and control: Cross-sectoral learning for
process and infrastructure engineers,"
International Journal
of Critical Infrastructures, vol. 5, no. 4, pp. 308-322, 2009.
Abstract
The need for improving the operation and control of infrastructure systems has
created a demand for optimization and control methods applicable in the area of
complex networked systems operated by a multitude of actors in a setting of
decentralized decision making. Because of the analogy between production
systems and infrastructures, process systems engineering (PSE) approaches for
optimization and control can be applied to infrastructure system operations.
This paper explores the applicability of the techniques often used by the PSE
community, i.e. multi-level optimization and multi-agent model predictive
control in infrastructure system operation, and stresses their importance for
capacity and system management in the energy and transport sectors.
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BibTeX
@article{LukWei:07-027,
author = {Lukszo, Zofia and Weijnen, Margot P. C. and Negenborn, Rudi R.
and De Schutter, Bart},
title = {Tackling Challenges in Infrastructure Operation and Control:
{Cross}-Sectoral Learning for Process and Infrastructure
Engineers},
journal = {International Journal of Critical Infrastructures},
volume = {5},
number = {4},
pages = {308--322},
year = {2009}
}