Extreme Short-Term Prediction of Unmanned Surface Vessel Nonlinear Motion Under Waves
Under complex hydrodynamic conditions, Unmanned Surface Vessel (USV) exhibits non-stationary and nonlinear dynamic behaviors. Extreme short-term prediction of such nonlinear motion is therefore critical for ensuring navigational safety. To improve the prediction accuracy, a VMD-CNN-LSTM combined pre...
Saved in:
| Main Authors: | Yiwen Wang, Jian Li, Shan Wang, Hantao Zhang, Long Yang, Weiguo Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/3/610 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization
by: Shuai Wu, et al.
Published: (2025-05-01) -
Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM
by: Yibo Lai, et al.
Published: (2025-01-01) -
An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01) -
Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01) -
Research on Short-term Load Forecasting Algorithm Based on VMD and TCN
by: WANG Qing, et al.
Published: (2024-04-01)