Scaling Gaussian Processes for Deterministic Model Predictive Control with Online Updates: A Framework for Model Selection and Re-identification in Process Control
- DOI
- 10.1021/acs.iecr.6c01228
- Published
- 2026-08-14
- 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.6c01228,
title = {Scaling Gaussian
Processes for Deterministic Model
Predictive Control with Online Updates: A Framework for Model Selection
and Re-identification in Process Control},
author = {Michael W. Fouts and David S. Mebane and Fernando V. Lima},
year = {2026},
journal = {Industrial \& Engineering
Chemistry Research},
doi = {10.1021/acs.iecr.6c01228},
url = {https://doi.org/10.1021/acs.iecr.6c01228}
}RIS
TY - JOUR TI - Scaling Gaussian Processes for Deterministic Model Predictive Control with Online Updates: A Framework for Model Selection and Re-identification in Process Control AU - Michael W. Fouts AU - David S. Mebane AU - Fernando V. Lima PY - 2026 JO - Industrial & Engineering Chemistry Research DO - 10.1021/acs.iecr.6c01228 UR - https://doi.org/10.1021/acs.iecr.6c01228 ER -
APA
Fouts, M. W., Mebane, D. S., & Lima, F. V. (2026). Scaling Gaussian Processes for Deterministic Model Predictive Control with Online Updates: A Framework for Model Selection and Re-identification in Process Control. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.6c01228
Source records
- crossref · retrieved 2026-09-26T00:18:39.091Z