Sequential reconstruction of driving-forces from nonlinear nonstationary dynamics

DOI10.1016/J.PHYSD.2010.02.014zbMath1189.37087OpenAlexW2021523417MaRDI QIDQ979128

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Publication date: 25 June 2010

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2010.02.014

zbMATH Keywords

logistic mapecho state networkdriving-force estimationMoran-Ricker mapnonlinear nonstationary systemssunspot time series

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Dynamical systems in classical and celestial mechanics (37N05)

Related Items (2)

Reconstruction of driving forces from nonstationary time series including stationary regions and application to climate change ⋮ Reconstructing latent dynamical noise for better forecasting observables

Cites Work

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• Unbiased minimum-variance input and state estimation for linear discrete-time systems
• Modelling nonstationary dynamics
• Applied functional analysis. Applications to mathematical physics. Vol. 1
• Recurrence plots revisited
• Predictable processes and Wold's decomposition: A review
• Likelihood and Bayesian Prediction of Chaotic Systems
• Monte carlo filter using the genetic algorithm operators
• Optimal filtering for systems with unknown inputs
• Approximation of discrete-time state-space trajectories using dynamic recurrent neural networks
• Analysis of adaptive step-size SA algorithms for parameter tracking
• Enumeration of Seven-Argument Threshold Functions

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