Common Methods for Chaotic Time Series Analysis and Prediction
This toolbox encompasses common approaches for chaotic time series analysis and prediction, featuring implementations for generating chaotic time series through various attractor models: - Logistic Map (ChaosAttractorsMain_Logistic.m) - Simulates population growth dynamics using iterative equations - Henon Map (ChaosAttractorsMain_Henon.m) - Models two-dimensional chaotic system with quadratic nonlinearity - Lorenz Attractor (ChaosAttractorsMain_Lorenz.m) - Solves three differential equations for atmospheric convection patterns - Duffing Attractor (ChaosAttractorsMain_Duffing.m) - Implements nonlinear oscillator with periodic forcing - Duffing2 Attractor (ChaosAttractorsMain_Duffing2.m) - Extended Duffing system variant