Source Code for Nonlinear Systems Learning

MATLAB 3K 268 views 0 downloads 1 credits
Tags:

Resource Overview

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

Detailed Documentation

This repository provides source code implementations for nonlinear systems learning, covering key concepts such as Lyapunov exponents, Lorenz attractor visualization, boost switching converters, and bifurcation diagrams. For those unfamiliar with these concepts, detailed explanations and practical examples are provided to facilitate understanding. The Lyapunov exponent calculation typically involves numerical methods to quantify system sensitivity to initial conditions. The Lorenz attractor implementation demonstrates chaotic system behavior through 3D differential equation solving. Boost converter simulations model power electronics systems using switching dynamics, while bifurcation diagrams reveal system behavior changes across parameter variations. Additional resources and references are included for deeper exploration of nonlinear system simulation methodologies.

You May Also Like