Software sensor as distributed parameter system for the control of secondary cooling in the continuous casting of steel

Author:

Hulkó G.,Ondrejkovič K.,Buček P.,Bartko M.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference10 articles.

1. Petrus, B., Zheng, K., Zhou, X., Thomas, G., B., Bentsman, J. (2010). Real-Time, Model-Based Spray-Cooling Control System for Steel Continuous Casting. Metallurgical and Materials Transactions B. pp. 87-103. The Minerals, Metals & Materials Society and ASM International. DOI: 10.1007/s11663-010-9452-7.

2. Control of Heat Transfer in Continuous Casting Process Using Neural Networks;Bouhouche;Acta Automatica Sinica,2008

3. Klimeš, L., Štetina, J. (2014). Challenges in numerical modelling of continuous steel casting - very fast GPU dynamic solidification model and its use in continuous casting control. In Proceedings of 8th European Continuous Casting Conference ECCC, ASMET, pp. 266–275. ISBN 978-3-200-03664-2.

4. Optimal control algorithm for continuous casting process by using fuzzy logic;Mauder;Steel Research International,2015

5. Hulkó, G. et al. (2003-2014). Distributed Parameter Systems Blockset for Simulink (DPS Blockset). Third-party software product of The MathWorks. Natick, Massachusettes, US – Bratislava.

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