@inproceedings{40b16117c229406c863615968679c62e,
title = "Model predictive control of hot-rolled strip cooling process using variable-resolution model",
abstract = "Model Predictive Control is an effective control method for nonlinear plants with constraints. However, application to large-scale systems and/or processes that require high sampling rate is quite challenging because of the heavy computation. Here we consider MPC approach for the cooling process of hot-rolled strip having 3D thermal distribution. To solve this large-scale problem, we propose a method to change the resolution of the model dynamically according to the uniformity of the thermal distributions in the directions of interest. Combined with a hierarchical control strategy to flatten the thermal distribution in a certain direction, one can balance the computational load across the cooling process.",
keywords = "Model Predictive Control, Multi Resolution, Process Modeling",
author = "Kentaro Hirata and Daijiro Udagawa and Yoichiro Masui and Yukinori Nakamura",
year = "2016",
month = dec,
day = "21",
doi = "10.1109/IECON.2016.7793811",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "215--222",
booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",
address = "United States",
note = "42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
}