Optimization-based Online Decision Support Tool for Electric Arc Furnace Operation * *This work is supported by the McMaster Steel Research Center (SRC) and the McMaster Advanced Control Consortium (MACC).

Author:

Shyamal Smriti,Swartz Christopher L.E.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

1. Nonlinear predictive control and moving horizon estimation an introductory overview;Allgöwer,1999

2. Andersson, J. (2013). A General-Purpose Software Framework for Dynamic Optimization. PhD thesis, Aren-berg Doctoral School, KU Leuven, Department of Electrical Engineering (ESAT/SCD) and Optimization in Engineering Center, Kasteelpark Arenberg 10, 3001-Heverlee, Belgium.

3. An overview of simultaneous strategies for dynamic optimization;Biegler;Chemical Engineering and Processing: Process Intensification,2007

4. Electric arc furnace modelling and control;Billings;Automatica,1979

5. Ghobara, Y. (2013). Modeling, Optimization and Estimation in Electric Arc Furnace (EAF) Operation. Master’s thesis, McMaster University.

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