Attention-Based Multitask Learning With Phase-Space Reconstruction for Early Detection of Instability and Chaos in the Lorenz System

This paper presents an attention-based multitask deep-learning framework for early prediction of instability and chaos in nonlinear dynamical systems. The proposed method integrates phase-space reconstruction (PSR), multitask learning, and attention-enhanced temporal representation learning to provi...

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Detalhes bibliográficos

Principais autores:	Hamid Ismail, Ahmad M. Harb, Marwan Bikdash
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Phase-space reconstruction chaos prediction instability detection multitask learning attention mechanism nonlinear dynamical systems
Acesso em linha:	https://ieeexplore.ieee.org/document/11570096/
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