FILTERING CHAOS: A TECHNIQUE TO ESTIMATE DYNAMICAL AND OBSERVATIONAL NOISE IN NONLINEAR SYSTEMS

DOI10.1142/S021812740501203XzbMath1083.93021OpenAlexW2003466878MaRDI QIDQ4675689

David Orrell

Publication date: 6 May 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021812740501203x

zbMATH Keywords

smoothingnonlinear systemschaotic systemsdriftnoise estimationforecast errorsobservation noisemodeling errors

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items

Chaotic dynamics reconstruction from noisy data: phenomenon of predictability worsening for incomplete set of observables, Control of internal and external noise in genetic regulatory networks, ESTIMATING ERROR GROWTH AND SHADOW BEHAVIOR IN NONLINEAR DYNAMICAL SYSTEMS

Cites Work

• Unnamed Item
• The Role of the Likelihood Function in the Estimation of Chaos Models
• Deterministic Nonperiodic Flow
• VISUALIZING BIFURCATIONS IN HIGH DIMENSIONAL SYSTEMS: THE SPECTRAL BIFURCATION DIAGRAM
• ESTIMATING ERROR GROWTH AND SHADOW BEHAVIOR IN NONLINEAR DYNAMICAL SYSTEMS