Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Por um escritor misterioso
Descrição
Fast data-driven model reduction for nonlinear dynamical systems
Deformable Morphing and Multivariable Stiffness in the Evolutionary Robotics-Scilight
Pulseflow
Data-driven Nonlinear Model Reduction to Spectral Submanifolds in Mechanical Systems
GitHub - haller-group/SSMLearn: Data-driven reduced order modeling for nonlinear dynamical systems
PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems
Fast data-driven model reduction for nonlinear dynamical systems
GitHub - StanfordASL/SSMR-for-control
Frontiers Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme
Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics
George Haller (@GeorgeHallerETH) / X
Regression-based identification and order reduction method for nonlinear dynamic structural models - Libao Wang, Min Xu, 2023
George Haller - CatalyzeX
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por adulto (o preço varia de acordo com o tamanho do grupo)