Explore MATLAB source code curated for "分叉图" with clean implementations, documentation, and examples.
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
This program is designed for generating phase diagrams and bifurcation diagrams of chaotic systems. Users simply need to define the corresponding chaotic differential equations to produce visualizations, with built-in numerical solvers and parameter sweeping capabilities for comprehensive analysis.
In nonlinear dynamical systems, bifurcation diagrams serve as qualitative tools to represent the evolution of system behavior. This code implements a classical Lorenz system in ode1.m, while sode3.m computes and visualizes parameter-sensitive bifurcation diagrams for the system. The implementation demonstrates how to track system stability changes through parameter variations using numerical integration and Poincaré section techniques.
MATLAB source code for generating bifurcation diagrams of 3-dimensional systems, implementing numerical continuation algorithms for stability analysis.
Generating bifurcation diagrams for quorum sensing models, specifically analyzing how model behavior evolves with time-delay variations using numerical simulation approaches
Source codes for nonlinear systems learning including Lyapunov exponent calculation, Lorenz attractor visualization, boost switching converters, bifurcation diagrams and more, suitable for nonlinear system simulation and study
Calculating Bifurcation Points for 3-Dimensional Systems with Numerical Implementation Approaches
Implementation of Tent Map Chaotic System and Bifurcation Diagram Visualization Program
Tools and methods for plotting phase diagrams and bifurcation diagrams of chaotic systems, including numerical solutions and visualization techniques