Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

Documenti analoghi

• Reduced‐Order, Data‐Driven, and Decomposition Methods for Modelling, Identification, and Estimation
  di: Angelo Alessandri, et al.
  Pubblicazione: (2025)
• Data‐driven disturbance compensation control for discrete‐time systems based on reinforcement learning
  di: Lanyue Li, et al.
  Pubblicazione: (2024)
• Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization
  di: Mingwei Jia, et al.
  Pubblicazione: (2024)
• Optimal trajectory tracking for uncertain linear discrete‐time systems using time‐varying Q‐learning
  di: Maxwell Geiger, et al.
  Pubblicazione: (2024)
• Event‐triggered model reference adaptive control system design for SISO plants using meta‐learning‐based physics‐informed neural networks without labeled data and transfer learning
  di: Worrawat Duanyai, et al.
  Pubblicazione: (2024)