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Distributed predictive process control in metallurgy

  • Automation in Industry
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Abstract

The advantages and basic concepts of model-based predictive control (MPC) are discussed. Possible MPC application in metallurgy is outlined. An example of an MPC system for billet cooling developed for a continuous casting machine is adduced.

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References

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Authors and Affiliations

  1. South Ural State University (National Research University), Chelyabinsk, Russia

    L. S. Kazarinov

  2. Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia

    B. N. Parsunkin

  3. OJSC “Magnitogorsk GIPROMEZ,”, Magnitogorsk, Russia

    A. E. Litvinova

  4. LLC NPO “Avtomatika,”, Magnitogorsk, Russia

    S. A. Litvinov

Authors
  1. L. S. Kazarinov
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  2. B. N. Parsunkin
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  3. A. E. Litvinova
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  4. S. A. Litvinov
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Corresponding author

Correspondence to A. E. Litvinova.

Additional information

Original Russian Text © L.S. Kazarinov, B.N. Parsunkin, A.E. Litvinova, S.A. Litvinov, 2013, published in Avtomatizatsiya v Promyshlennosti, 2013, No. 2, pp. 54–59.

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Kazarinov, L.S., Parsunkin, B.N., Litvinova, A.E. et al. Distributed predictive process control in metallurgy. Autom Remote Control 78, 349–356 (2017). https://doi.org/10.1134/S0005117917020126

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  • DOI: https://doi.org/10.1134/S0005117917020126

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