A data-driven framework for learning hybrid dynamical systems (Q6548679)

scientific article; zbMATH DE number 7858574

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English	A data-driven framework for learning hybrid dynamical systems	scientific article; zbMATH DE number 7858574

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instance of

scholarly article

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title

A data-driven framework for learning hybrid dynamical systems (English)

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1 June 2024

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MaRDI profile type

Publication

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cites work

Hybrid dynamical systems

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Preasymptotic Stability and Homogeneous Approximations of Hybrid Dynamical Systems

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Piecewise-smooth dynamical systems. Theory and applications

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Theory of hybrid dynamical systems and its applications to biological and medical systems

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Bifurcations in Nonsmooth Dynamical Systems

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Resonance near border-collision bifurcations in piecewise-smooth, continuous maps

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Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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Data-driven discovery of coordinates and governing equations

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A data-driven approach for discovering stochastic dynamical systems with non-Gaussian Lévy noise

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Extracting governing laws from sample path data of non-Gaussian stochastic dynamical systems

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Extracting stochastic dynamical systems with α-stable Lévy noise from data

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Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

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Data-driven approximation of the Koopman generator: model reduction, system identification, and control

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An end-to-end deep learning approach for extracting stochastic dynamical systems with \(\alpha\)-stable Lévy noise

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Variational Inference for Stochastic Differential Equations

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A Bayesian approach to identification of hybrid systems

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Identification of piecewise affine systems based on statistical clustering technique

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A clustering technique for the identification of piecewise affine systems

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Identification of piecewise affine systems via mixed-integer programming.

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A bounded-error approach to piecewise affine system identification

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Identification of switched linear systems via sparse optimization

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A Sparsification Approach to Set Membership Identification of Switched Affine Systems

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Model selection for hybrid dynamical systems via sparse regression

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Q5405235

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Data driven governing equations approximation using deep neural networks

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A proposal on machine learning via dynamical systems

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Optimal Detection of Changepoints With a Linear Computational Cost

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Change-point detection in time-series data by relative density-ratio estimation

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An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection

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From time series to complex networks: The visibility graph

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Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems

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Deep learning algorithm for data-driven simulation of noisy dynamical system

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Reservoir Computing

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Identifiers

zbMATH Open document ID

1537.93157

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DOI

10.1063/5.0157669

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6548679