Dynamic optimizers for complex industrial systems via direct data-driven synthesis
Abstract The chemical process industry (CPI) faces significant challenges in improving sustainability and efficiency while maintaining conservative principles for managing cost, complexity, and uncertainty. This work introduces a data-driven approach to dynamic real-time optimization (D-RTO) that ad...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00368-8 |
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