Calculating Lyapunov Exponents for Various Chaotic Systems
MATLAB source code for computing Lyapunov exponents of diverse chaotic systems, including implementation details for numerical algorithms and key functions.
Simulink Simulation of Duffing and Lorenz Chaotic Systems with Control Implementations
This documentation presents Simulink-based simulations of Duffing and Lorenz chaotic systems, followed by time-delayed feedback control and synchronization control implementations for the Lorenz system. Additionally, it includes a Simulink-based sliding mode control implementation that is both convenient to setup and demonstrates effective performance.
Code Implementation for Computing Important Parameters in Chaotic Systems Including Lyapunov Exponents
Implementation of algorithms for calculating key chaotic system parameters such as Lyapunov exponents, attractor dimensions, and bifurcation parameters
MATLAB Implementation of Image Encryption Using Chaotic Systems
An image encryption program based on chaotic systems implemented in MATLAB with detailed algorithm explanations and key function descriptions
Bifurcation Diagram: A Crucial Parameter in Chaotic Systems Analysis
Bifurcation diagrams serve as essential parameters for characterizing chaotic systems, with the Lorenz system used as an example to demonstrate MATLAB implementation of bifurcation diagram generation
MATLAB Implementation for Calculating Lyapunov Exponents of Various Chaotic Systems
Compute Lyapunov exponents for diverse chaotic systems using MATLAB, with provisions for integrating custom algorithms to enhance analysis and understanding of chaotic dynamics.
Computing Lyapunov Exponents and Poincaré Sections for Chaotic Systems
This article provides comprehensive guidance on calculating Lyapunov exponents and constructing Poincaré sections for chaotic systems, including algorithm explanations and implementation approaches using numerical methods.
Computing Lyapunov Exponents for Various Chaotic Systems
A MATLAB-based implementation for calculating Lyapunov exponents across diverse chaotic systems, featuring efficient algorithms and practical usability
Various Simulations Required for Chaotic Systems
Simulation programs essential for chaotic systems, providing value for both professionals and beginners in nonlinear dynamics research. These implementations typically involve numerical methods like Runge-Kutta integration, phase space reconstruction, and Lyapunov exponent calculation algorithms.
Bifurcation Diagram of Chaotic Systems Transitioning from Small Periodic States to Chaos
Implementation of bifurcation diagram plotting for chaotic systems during the transition from small periodic states to chaotic states using MATLAB