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| Title: | Tackling challenges in infrastructure operation and control -- cross-sectoral learning for process and infrastructure engineers | | | Authors: | Z. Lukszo, M. Weijnen, R.R. Negenborn, B. De Schutter |
| | Journal: | International Journal of Critical Infrastructures | | |
| | 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. |
| | Reference: | Tackling challenges in infrastructure operation and control -- cross-sectoral learning for process and infrastructure engineers. Z. Lukszo, M. Weijnen, R.R. Negenborn, B. De Schutter. International Journal of Critical Infrastructures, vol. 5, no. 4, pp. 308-322, 2009. |
| | BibTeX: | @article{Lukszo:09,
author = {Z. Lukszo and M. Weijnen and R. R. Negenborn and B. De Schutter},
title = {Tackling challenges in infrastructure operation and control
-- cross-sectoral learning for process and infrastructure engineers},
journal = {International Journal of Critical Infrastructures},
year = {2009},
pages = {308--322},
volume = {5},
number = {4}
} | | | Download: | Corresponding technical report |
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