An adaptive control system based on spatial–temporal graph convolutional and disentangled baseline-volatility prediction of bellows temperature for iron ore sintering process-Reference-Cited by-同舟云学术

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An adaptive control system based on spatial–temporal graph convolutional and disentangled baseline-volatility prediction of bellows temperature for iron ore sintering process

Published:2024-08 Issue: Volume:140 Page:103254
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Chi Zhengwei,Chen Xiaoxia^ORCID,Xia Hanzhong,Liu Chengshuo,Wang Zhen

Publisher

Elsevier BV

Reference47 articles.

1. Energy saving in the iron ore sintering process: A brief discussion;Wei;IEEE Spectr.,2016

2. Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process;Hu;J. Process Control,2022

3. Adaptive control of the ignition of sintering batch;Endiyarov;Steel Transl.,2016

4. EID-estimation-based periodic disturbance rejection for sintering ignition process with input time Delay: EID-based disturbance rejection for sintering ignition process;Chen;Asian J. Control,2017

5. Fuzzy control of an iron ore sintering plant;Arbeithuber;Control Eng. Pract.,1995

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