Challenges for process system engineering in infrastructure operation and control

Challenges for process system engineering in infrastructure operation and control

Lukszo, Z.
Weijnen, M.P.C.
Negenborn, R.R.
De Schutter, B.
Ilic, M.

Mechanical, Maritime and Materials Engineering

Delft Center for Systems and Control

2006-07-01

The need for improving the operation and control of infrastructure systems has created a demand on optimization methods applicable in the area of complex sociotechnical systems operated by a multitude of actors in a setting of decentralized decision making. This paper briefly presents main classes of optimization models applied in PSE system operation, explores their applicability in infrastructure system operation and stresses the importance of multi-level optimization and multi-agent model predictive control. If you want to cite this report, please use the following reference instead: Z. Lukszo, M.P.C. Weijnen, R.R. Negenborn, B. De Schutter, and M. Ilic, “Challenges for process system engineering in infrastructure operation and control,” in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering (Garmisch-Partenkirchen, Germany, July 2006) (W. Marquardt and C. Pantelides, eds.), vol. 21 of Computer-Aided Chemical Engineering, Amsterdam, The Netherlands: Elsevier, ISBN 978-0-444-52969-5, pp. 95–100, 2006.

infrastructures
optimization
multi-agent systems
model predictive control

http://resolver.tudelft.nl/uuid:b842a4d0-0708-4c37-b3e7-e86f91c72dd4

Delft Center for Systems and Control Technical Report 06-001

Institutional Repository

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(c) 2006 The Author(s)