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Communication Dans Un Congrès Année : 2019

A data-driven approach for inference of the evolution equation of a Duffing oscillator

Résumé

As more and more data is available on a daily basis, it is natural to seek to infer relevant information embedded in these datasets. In the context of dynamical systems, this idea translates into the use of observations (data) to infer the evolution law. I this sense, machine learning techniques are getting more space in the analysis and synthesis of dynamical systems. This paper uses regularized data-driven regression algorithm to infer the evolution law of a Duffing oscillator, using a library of mathematical functions obtained from a dataset generated from the underlying physical system.
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hal-02388469 , version 1 (01-12-2019)

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  • HAL Id : hal-02388469 , version 1

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Diego Matos, Americo Cunha Jr. A data-driven approach for inference of the evolution equation of a Duffing oscillator. 15th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC 2019), Nov 2019, Curitiba, Brazil. ⟨hal-02388469⟩
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