Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework
- DOI
- 10.1021/acs.iecr.4c04583
- Published
- 2025-04-21
- 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.4c04583,
title = {Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework},
author = {Sarasij Banerjee and Owais Khan and Mohamed El Mistiri and Naresh N. Nandola and Eric Hekler and Daniel E. Rivera},
year = {2025},
journal = {Industrial \& Engineering Chemistry Research},
doi = {10.1021/acs.iecr.4c04583},
url = {https://doi.org/10.1021/acs.iecr.4c04583}
}RIS
TY - JOUR TI - Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework AU - Sarasij Banerjee AU - Owais Khan AU - Mohamed El Mistiri AU - Naresh N. Nandola AU - Eric Hekler AU - Daniel E. Rivera PY - 2025 JO - Industrial & Engineering Chemistry Research DO - 10.1021/acs.iecr.4c04583 UR - https://doi.org/10.1021/acs.iecr.4c04583 ER -
APA
Banerjee, S., Khan, O., Mistiri, M. E., Nandola, N. N., Hekler, E., & Rivera, D. E. (2025). Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.4c04583
Source records
- crossref · retrieved 2026-09-25T17:51:14.616Z