LorenzParameterEstimation.jl

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Niklas Viebig
DOI: 10.5281/zenodo.19052321
Cited by: 0

Abstract

A Julia package for parameter estimation in the Lorenz-63 chaotic dynamical system using Enzyme.jl automatic differentiation and modern gradient-based optimizers. Implements windowed trajectory-based loss with teacher forcing to handle chaotic divergence, supporting recovery of the parameters σ, ρ, and β from observed trajectories. Developed as part of a master thesis on gradient-based parameter estimation in chaotic systems.

Fields of Study & Subjects

Chaos control and synchronization Control Systems and Identification Mathematical Dynamics and Fractals

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 March 2026
Language
EN