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

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

Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Frontiers Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme

PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

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

PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

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 Nonlinear Model Reduction to Spectral Submanifolds in Mechanical Systems

Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics

Model reduction for nonlinearizable dynamics via delay-embedded spectral submanifolds

Deformable Morphing and Multivariable Stiffness in the Evolutionary Robotics-Scilight
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