Reconstructing dynamics of complex systems from noisy time series with hidden variables
type: Item
instance of: scholarly article
title: Reconstructing dynamics of complex systems from noisy time series with hidden variables
author: Zishuo Yan
author: Lili Gui
author: Kun Xu
author: Yueheng Lan
published in: New Journal of Physics
publication date: 2024-06-21T00:00:00Z
Mathematics Subject Classification ID: 81-XX
Mathematics Subject Classification ID: 82-XX
Mathematics Subject Classification ID: 83-XX
zbMATH DE Number: 7868945
zbMATH Keywords: reconstruction of complex network structures
zbMATH Keywords: hidden variables
zbMATH Keywords: noisy time series
MaRDI profile type: Publication
cites work: Systems Biology
cites work: Complex networks: structure and dynamics
cites work: The Structure and Function of Complex Networks
cites work: Inferring network topology from complex dynamics
cites work: Discovering governing equations from data by sparse identification of nonlinear dynamical systems
cites work: Structure identification of uncertain general complex dynamical networks with time delay
cites work: Q3830265
cites work: Detecting network structures from measurable data produced by dynamics with hidden variables
cites work: Deterministic Nonperiodic Flow
cites work: Chaos in Dynamical Systems
cites work: Q4102159
cites work: Noise-tolerant algebraic method for reconstruction of nonlinear dynamical systems
cites work: Structure-selection techniques applied to continuous-time nonlinear models
cites work: Scientific machine learning through physics-informed neural networks: where we are and what's next
cites work: Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
DOI: 10.1088/1367-2630/ACD46D
description: scientific article; zbMATH DE number 7868945