Dispersion Control of Steel Plate Temperature by Particle Model Predictive Control

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). Simu...

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Veröffentlicht in:	Tetsu to hagane 2013, Vol.99(4), pp.275-282
Hauptverfasser:	Ohsumi, Kohei, Ohtsuka, Toshiyuki, Hirata, Mitsuo, Shioya, Masanori
Format:	Artikel
Sprache:	eng ; jpn
Schlagworte:	dispersion control model predictive control Monte Carlo method nonlinear systems probability density function steel cooling
Online-Zugang:	Volltext
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