Explore MATLAB source code curated for "Lyapunov指数" with clean implementations, documentation, and examples.
Implementation of C-C method algorithms for computing optimal time delay and embedding dimension, with applications in Lyapunov exponent calculation, correlation dimension analysis, and chaotic time series prediction. Includes MATLAB/Python code insights for signal processing and nonlinear dynamics.
This MATLAB program computes the maximum Lyapunov exponent of time series using Wolf's method. It is a complete implementation optimized for fast execution, ready to run directly without modifications. The algorithm employs chaos analysis based on Lyapunov exponents to study chaotic characteristics of time series through feature extraction.
MATLAB program for generating Duffing bifurcation diagrams and calculating Lyapunov exponents for continuous Duffing equations, featuring robust numerical integration and accurate dynamical system analysis
A classical MATLAB program for computing Lyapunov exponents, featuring robust numerical algorithms for chaos analysis and dynamical systems characterization. This implementation provides practical tools for researchers studying system stability and chaotic behavior.
Implementation of Wolf's method for computing Lyapunov exponents - directly execute the Wolf_3DLyapunov.m file containing the complete algorithm with embedded data processing and numerical computation routines
This implementation provides a comprehensive MATLAB approach for calculating Lyapunov exponents, including algorithm design and code structure.
MATLAB implementation for computing Lyapunov exponents to detect chaotic behavior in dynamical systems
MATLAB Chaos Toolbox featuring C_C method and Wolf algorithm for computing largest Lyapunov exponents. Unlike Zhenbo Lu's toolbox, this version provides fully visible functions with complete source code accessibility. All implementations are open for modification and completely free.
The Chaos Toolbox provides highly accurate calculation of Lyapunov exponents for dynamical systems analysis.
File: C-C method for computing time delay and embedding dimension - Implements the C-C algorithm to determine optimal time delay and embedding dimension for phase space reconstruction. File: dingyi_lyapunov - Computes Lyapunov exponents using the definition method. File: fencha - Generates bifurcation diagrams for Lorenz systems using the regional maximum method. File: m_test - Solves for embedding dimension m. File: pinghengdian