MPC surrogates based on supervised or unsupervised learning for the real-time control of nonlinear systems
- DOI
- 10.1016/j.ifacsc.2026.100409
- Published
- 2026-06
- Container
- IFAC Journal of Systems and Control
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ifacsc.2026.100409,
title = {MPC surrogates based on supervised or unsupervised learning for the real-time control of nonlinear systems},
author = {Daniel Martin Xavier and Ludovic Chamoin and Laurent Fribourg},
year = {2026},
journal = {IFAC Journal of Systems and Control},
doi = {10.1016/j.ifacsc.2026.100409},
url = {https://doi.org/10.1016/j.ifacsc.2026.100409}
}RIS
TY - JOUR TI - MPC surrogates based on supervised or unsupervised learning for the real-time control of nonlinear systems AU - Daniel Martin Xavier AU - Ludovic Chamoin AU - Laurent Fribourg PY - 2026 JO - IFAC Journal of Systems and Control DO - 10.1016/j.ifacsc.2026.100409 UR - https://doi.org/10.1016/j.ifacsc.2026.100409 ER -
APA
Xavier, D. M., Chamoin, L., & Fribourg, L. (2026). MPC surrogates based on supervised or unsupervised learning for the real-time control of nonlinear systems. IFAC Journal of Systems and Control. https://doi.org/10.1016/j.ifacsc.2026.100409
Source records
- hal · retrieved 2026-09-25T06:12:31.523Z