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Multi-rate data-driven model predictive control for ball mill grinding process

delete2025-06-25
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PRE
AI
W
Wei Dai
Q
Qian Tian
Y
Yi‐Zhuo Yang
DOI:10.1016/j.mineng.2025.109535delete
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Abstract

Abstract

En 中文
• Multi-rate and time-varying problems of grinding process under IIoT are analyzed. • A multi-rate Hankel matrix is designed with data of different sampling periods. • A multi-rate data-driven MPC controller is designed for problem of time-varying model parameters. • Experiments have been conducted to verify the effectiveness of the proposed method.

Journal

Minerals Engineering cover
Minerals Engineering
IF:
5
Papers:
8.5K
Citations:
2.6W

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No organization information available
Cited Papers

Cited Papers

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Recurrent neural networks based modelling of industrial grinding operation
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Multi-Rate Layered Operational Optimal Control for Large-Scale Industrial Processes
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errDai, Wei; Li, Tongyun; Zhang, Lingzhi; Jia, Yao; Yan, Huaicheng
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Application of model predictive control in ball mill grinding circuit
err2007-09-01
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errChen, Xi-Song; Zhai, Jun-Yong; Li, Shi-hua; Li, Qi
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Multi‐rate event‐triggered control with imperfect data for dense medium separation
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IF0
err2023-08-25
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PREAI
errWei Dai; Yi‐Zhuo Yang; Qi‐Rui Zhang; Chun‐Yu Yang; Xiao‐Ping Ma
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A note on persistency of excitation
err2005-04-01
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errOAAI
errJan C. Willems; Paolo Rapisarda; Ivan Markovsky; Bart L.M. De Moor
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