Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics
- DOI
- 10.1109/tnnls.2025.3644299
- Published
- 2026-07
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2025.3644299,
title = {Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics},
author = {Fulong Hu and Hai-Tao Zhang and Chen Lv and Jun Wang},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2025.3644299},
url = {https://doi.org/10.1109/tnnls.2025.3644299}
}RIS
TY - JOUR TI - Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics AU - Fulong Hu AU - Hai-Tao Zhang AU - Chen Lv AU - Jun Wang PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2025.3644299 UR - https://doi.org/10.1109/tnnls.2025.3644299 ER -
APA
Hu, F., Zhang, H., Lv, C., & Wang, J. (2026). Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2025.3644299
Source records
- crossref · retrieved 2026-09-25T21:02:48.426Z