Robust Enhanced Auto-Tuning of PID Controllers for Optimal Quality Control of Cement Raw Mix via Neural Networks
Ensuring efficient long-term quality control of the raw mix remains a priority for the cement industry, supporting initiatives to lower the CO<sub>2</sub> footprint by incorporating significant amounts of alternative fuels and raw materials in clinker production. This study presents an e...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | ChemEngineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2305-7084/9/3/52 |
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