Reservoir computing for system identification and model predictive control.
- DOI
- 10.1016/j.neunet.2026.109031
- Published
- 2026 Oct
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109031,
title = {Reservoir computing for system identification and model predictive control.},
author = {Williams JP and Kutz JN and Manohar K},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109031},
url = {https://doi.org/10.1016/j.neunet.2026.109031}
}RIS
TY - JOUR TI - Reservoir computing for system identification and model predictive control. AU - Williams JP AU - Kutz JN AU - Manohar K PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109031 UR - https://doi.org/10.1016/j.neunet.2026.109031 ER -
APA
JP, W., JN, K., & K, M. (2026). Reservoir computing for system identification and model predictive control.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109031
Source records
- pubmed · retrieved 2026-09-25T23:54:10.724Z
- europe-pmc · retrieved 2026-09-25T23:54:10.737Z