A data-analysis method for identifying differential effects of time-delayed feedback forces and periodic driving forces in stochastic systems

DOI10.1140/epjb/e2007-00333-xzbMath1189.91167OpenAlexW1994122194MaRDI QIDQ978722

Publication date: 25 June 2010

Published in: The European Physical Journal B. Condensed Matter and Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1140/epjb/e2007-00333-x

Mathematics Subject Classification ID

Economic time series analysis (91B84) PDEs in connection with game theory, economics, social and behavioral sciences (35Q91)

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
A theoretical model of phase transitions in human hand movements
Estimating Kramers-Moyal coefficients in short and non-stationary data sets
The Fokker-Planck equation. Methods of solution and applications.
Ordinary and delay differential equations
Order parameters for class-B lasers with a long time delayed feedback
A dynamical model for mirror movements
A note on estimating drift and diffusion parameters from time series
Ikeda Hopf bifurcation revisited
Principles of brain functioning. A synergetic approach to brain activity, behavior and cognition
An iterative procedure for the estimation of drift and diffusion coefficients of langevin processes
Deterministic and stochastic features of rhythmic human movement
Feedback equilibrium control during human standing
Identifying noise sources of time-delayed feedback systems
Identifying and comparing states of time-delayed systems: phase diagrams and applications to human motor control systems
On the theory of optimal control. Sufficient coordinates
Oscillation and Chaos in Physiological Control Systems
TIME SERIES ANALYSIS OF MULTIVARIATE TIME-DELAYED SYSTEMS WITH NOISE: APPLICATIONS TO LASER PHYSICS AND HUMAN MOVEMENT
On reducible nonlinear time-delayed stochastic systems: fluctuation–dissipation relations, transitions to bistability, and secondary transitions to non-stationarity
Stochastic integral
Brain dynamics. Synchronization and activity patterns in pulse-coupled neural nets with delays and noise
Evidence of Markov properties of high frequency exchange rate data
Analysis of data from periodically forced stochastic processes
Brownian motors: noisy transport far from equilibrium

This page was built for publication: A data-analysis method for identifying differential effects of time-delayed feedback forces and periodic driving forces in stochastic systems