Analysis and computation of continuous data assimilation algorithms for Lorenz 63 system based on nonlinear nudging techniques

DOI10.1016/j.cam.2020.113246zbMath1461.65210OpenAlexW3093553656MaRDI QIDQ2223783

Yi Juan Du, Ming-Cheng Shiue

Publication date: 3 February 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2020.113246

zbMATH Keywords

continuous data assimilation algorithmsLorenz 63 systemnonlinear nudging techniquessynchronization technique

Mathematics Subject Classification ID

Numerical solution of inverse problems involving ordinary differential equations (65L09)

Related Items (4)

The bleeps, the sweeps, and the creeps: convergence rates for dynamic observer patterns via data assimilation for the 2D Navier-Stokes equations ⋮ Dynamically learning the parameters of a chaotic system using partial observations ⋮ Super-exponential convergence rate of a nonlinear continuous data assimilation algorithm: the 2D Navier-Stokes equation paradigm ⋮ Finite time synchronization of the continuous/discrete data assimilation algorithms for Lorenz 63 system based on the back and forth nudging techniques

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