Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Por um escritor misterioso
Last updated 27 fevereiro 2025
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PDF) Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
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Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics
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Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
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Cluster-based network modeling—From snapshots to complex dynamical systems
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Pulseflow
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Our simplified data-driven SSM construction consists of two main parts
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Fast data-driven model reduction for nonlinear dynamical systems
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Efficient Data-Driven Modeling of Nonlinear Dynamical Systems via Metalearning, Journal of Engineering Mechanics
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Model reduction for nonlinearizable dynamics via delay-embedded spectral submanifolds
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Stability Analysis of the Parachute System with a Data-Driven Approach
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Regression-based identification and order reduction method for nonlinear dynamic structural models - Libao Wang, Min Xu, 2023
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Publikationen zur Werkstofftechnik vom Leibniz IWT Leibniz-Institut für Werkstofforientierte Technologien - IWT Bremen
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PDF) Nonlinear trajectory tracking via incremental passivity
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PDF] Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems
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