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Phase autoencoder for limit-cycle oscillators - MaRDI portal

Phase autoencoder for limit-cycle oscillators (Q6592525)

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scientific article; zbMATH DE number 7901158

Language	Label	Description	Also known as
English	Phase autoencoder for limit-cycle oscillators	scientific article; zbMATH DE number 7901158

Statements

scholarly article

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Phase autoencoder for limit-cycle oscillators (English)

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Koichiro Yawata

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publication date

26 August 2024

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MaRDI profile type

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Chemical oscillations, waves, and turbulence

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Coupling functions in networks of oscillators

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Coupled nonlinear oscillators and the symmetries of animal gaits

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Mathematical foundations of neuroscience

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Phase reduction and phase-based optimal control for biological systems: a tutorial

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On the concept of dynamical reduction: the case of coupled oscillators

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Recent advances in coupled oscillator theory

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Phase-amplitude reduction of limit cycling systems

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An Adaptive Phase-Amplitude Reduction Framework without $\mathcal{O}(\epsilon)$ Constraints on Inputs

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Phase-response analysis of synchronization for periodic flows

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Weakly connected neural networks

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Phase-amplitude descriptions of neural oscillator models

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Global Stability Analysis Using the Eigenfunctions of the Koopman Operator

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Phase-amplitude reduction of transient dynamics far from attractors for limit-cycling systems

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Global computation of phase-amplitude reduction for limit-cycle dynamics

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Fast optimal entrainment of limit-cycle oscillators by strong periodic inputs via phase-amplitude reduction and Floquet theory

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Dynamic mode decomposition of numerical and experimental data

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A data-driven approximation of the koopman operator: extending dynamic mode decomposition

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Isostables, isochrons, and Koopman spectrum for the action-angle representation of stable fixed point dynamics

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Linearly Recurrent Autoencoder Networks for Learning Dynamics

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Data-driven discovery of coordinates and governing equations

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Reducing the Dimensionality of Data with Neural Networks

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On the non-linear mechanics of wave disturbances in stable and unstable parallel flows Part 1. The basic behaviour in plane Poiseuille flow

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Phase reduction and synchronization of a network of coupled dynamical elements exhibiting collective oscillations

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Phase-amplitude reduction and optimal phase locking of collectively oscillating networks

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Intermittent phase dynamics of non-autonomous oscillators through time-varying phase

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Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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Identifiers

10.1063/5.0205718

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6592525

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