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Eduardo Gallestey, Alec Stothert, Dario Castagnoli, Giancarlo Ferrari-Trecate, Manfred Morari

Using Model Predictive Control and Hybrid Systems for Optimal Scheduling of Industrial Processes

Optimal (re)scheduling of production in industrial processes increases economic efficiency through timely and optimal use of limited resources. In this article an approach to scheduling based on the use of hybrid systems and model predictive control is presented. Modelling flexibility, acceptable computational times, and optimal disturbance rejection are the key advantages of the approach. The main ideas are illustrated with two industrial applications.

at – Automatisierungstechnik, Oldenbourg Wissenschaftsverlag

Print ISSN: 0178-2312
Volume: 51, 06/2003
Pages: 285

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