A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control
- DOI
- 10.1021/acs.iecr.5c02195
- Published
- 2025-12-23
- Container
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.iecr.5c02195,
title = {A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control},
author = {San Dinh and Claudemi A. Nascimento and David S. Mebane and Fernando V. Lima},
year = {2025},
journal = {Industrial \& Engineering Chemistry Research},
doi = {10.1021/acs.iecr.5c02195},
url = {https://doi.org/10.1021/acs.iecr.5c02195}
}RIS
TY - JOUR TI - A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control AU - San Dinh AU - Claudemi A. Nascimento AU - David S. Mebane AU - Fernando V. Lima PY - 2025 JO - Industrial & Engineering Chemistry Research DO - 10.1021/acs.iecr.5c02195 UR - https://doi.org/10.1021/acs.iecr.5c02195 ER -
APA
Dinh, S., Nascimento, C. A., Mebane, D. S., & Lima, F. V. (2025). A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.5c02195
Source records
- crossref · retrieved 2026-09-26T01:52:09.248Z