Tetsu-to-Hagane
Online ISSN : 1883-2954
Print ISSN : 0021-1575
ISSN-L : 0021-1575
Regular Article
Dispersion Control of Steel Plate Temperature by Particle Model Predictive Control
Kohei Ohsumi, Toshiyuki Ohtsuka, Mitsuo Hirata, Masanori Shioya
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Keywords: model predictive control, nonlinear systems, dispersion control, probability density function, Monte Carlo method, steel cooling
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2013 Volume 99 Issue 4 Pages 275-282

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Abstract
In this paper, a control problem of temperature dispersion in steel cooling is formulated as model predictive control (MPC) of a probability density function (PDF). The input of MPC is optimized for dynamics of the PDF approximated by the Monte Carlo method, which is called particle MPC (PMPC). Simulation results of PMPC are presented to show the potential effectiveness of dispersion control.
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© 2013 The Iron and Steel Institute of Japan

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
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