Knowledge-based learning of nonlinear dynamics and chaos

DOI10.1063/5.0065617MaRDI QIDQ6562228

M. Ani Hsieh, Tom Z. Jiahao, Eric Forgoston

Publication date: 26 June 2024

Published in: Chaos (Search for Journal in Brave)

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for ordinary differential equations (65Lxx) Model systems in control theory (93Cxx)

Cites Work

• Title not available (Why is that?)
• Discovering governing equations from data by sparse identification of nonlinear dynamical systems
• Identification of nonlinear systems using polynomial nonlinear state space models
• On ``relaxation-oscillations.
• Bridging the gap: machine learning to resolve improperly modeled dynamics
• Principal component analysis: a review and recent developments
• Machine learning: Trends, perspectives, and prospects
• A new test for chaos in deterministic systems
• Nonlinear analysis of hydrodynamic instability in laminar flames—I. Derivation of basic equations
• Turbulence, Coherent Structures, Dynamical Systems and Symmetry
• Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution
• Deterministic Nonperiodic Flow
• LYAPUNOV EXPONENTS OF THE KURAMOTO–SIVASHINSKY PDE
• How entropic regression beats the outliers problem in nonlinear system identification

Related Items (1)

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

This page was built for publication: Knowledge-based learning of nonlinear dynamics and chaos

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6562228)