Casasimulation lag fix

Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

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Last updated 25 outubro 2024
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
GitHub - haller-group/SSMLearn: Data-driven reduced order modeling for nonlinear dynamical systems
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven Nonlinear Model Reduction to Spectral Submanifolds in Mechanical Systems
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Predicting complex dynamics from data - Sciena
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Applied Sciences Special Issue : Nonlinear Dynamics and Vibration Control of Structures
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Predicting complex dynamics from data - Innovations Report
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven structural identification of nonlinear assemblies: Structures with bolted joints - ScienceDirect
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Regression-based identification and order reduction method for nonlinear dynamic structural models - Libao Wang, Min Xu, 2023
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Frontiers Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme
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