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

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Last updated 26 junho 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
PDF) Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
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
Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
Cluster-based network modeling—From snapshots to complex dynamical systems
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
Pulseflow
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
Our simplified data-driven SSM construction consists of two main parts
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
Fast data-driven model reduction for nonlinear dynamical systems
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
Model reduction for nonlinearizable dynamics via delay-embedded spectral submanifolds
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
Stability Analysis of the Parachute System with a Data-Driven Approach
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
Publikationen zur Werkstofftechnik vom Leibniz IWT Leibniz-Institut für Werkstofforientierte Technologien - IWT Bremen
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
PDF) Nonlinear trajectory tracking via incremental passivity
Data-driven modeling and prediction of non-linearizable dynamics via  spectral submanifolds
PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

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