A Neural-Network-Assisted Approach to Recursive State Estimation for Energy Harvesting Complex Networks With Unknown Nonlinearities.
- DOI
- 10.1109/tnnls.2026.3669864
- Published
- 2026 Sep
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3669864,
title = {A Neural-Network-Assisted Approach to Recursive State Estimation for Energy Harvesting Complex Networks With Unknown Nonlinearities.},
author = {Zhang Y and Wang Z and Zou L and Du J and Yang SH},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3669864},
url = {https://doi.org/10.1109/tnnls.2026.3669864}
}RIS
TY - JOUR TI - A Neural-Network-Assisted Approach to Recursive State Estimation for Energy Harvesting Complex Networks With Unknown Nonlinearities. AU - Zhang Y AU - Wang Z AU - Zou L AU - Du J AU - Yang SH PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3669864 UR - https://doi.org/10.1109/tnnls.2026.3669864 ER -
APA
Y, Z., Z, W., L, Z., J, D., & SH, Y. (2026). A Neural-Network-Assisted Approach to Recursive State Estimation for Energy Harvesting Complex Networks With Unknown Nonlinearities.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3669864
Source records
- pubmed · retrieved 2026-09-25T10:42:15.969Z