Forecasting Hamiltonian dynamics without canonical coordinates

DOI10.1007/s11071-020-06185-2zbMath1517.37084arXiv2010.15201OpenAlexW3125070275MaRDI QIDQ6117176

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Publication date: 16 August 2023

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.15201

zbMATH Keywords

neural networksHamiltonian dynamicstime series forecastingcanonical coordinates

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10)

Cites Work

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• Numerical differentiation of noisy, nonsmooth data
• A novel general type-2 fuzzy controller for fractional-order multi-agent systems under unknown time-varying topology
• Hamiltonian structures for the n-dimensional Lotka–Volterra equations
• A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
• Approximation by superpositions of a sigmoidal function

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