Generation of Typical Chaotic Time Series
This program implements generation procedures for several benchmark chaotic time series, including Rossler, Chen, Logistical, and Lorenz sequences, with detailed code implementation insights.
Plotting Chaos and Bifurcation Diagrams for Chen System
Implementation for generating chaos and bifurcation diagrams of Chen system, containing several files with code-level demonstrations but lacking detailed documentation. Includes techniques for numerical simulation and visualization.
Generation of Several Typical Chaotic Time Series
Implementation of several typical chaotic time series generation programs with corresponding attractor visualization plots for each chaotic system
Optimizing Time Delay for Chaotic Time Series Phase Space Reconstruction Using Mutual Information Method
MATLAB implementation for calculating optimal time delay in chaotic time series phase space reconstruction through mutual information method
Chaos-Enhanced Ant Colony Optimization Algorithm
Chaos-Enhanced Ant Colony Optimization Algorithm and Its Application Research in Function Optimization
C-C Algorithm for Nonlinear Systems
The C-C algorithm for nonlinear systems is a well-tested implementation that provides researchers in chaos theory with a practical tool for studying complex dynamical behavior. The algorithm includes key functions for phase space reconstruction and correlation dimension calculation.
Implementation of the Classical Aihara Chaotic Neural Network Model
This program implements the classical Aihara chaotic neural network model with detailed code structure and algorithmic explanations
Chaotic Time Series Prediction Using Sugeno-Type ANFIS
Implementation of chaotic time series prediction using Sugeno-type Adaptive Neuro-Fuzzy Inference System (ANFIS).
Dynamical Systems with Applications Using MATLAB: Code Implementation and Experimental Analysis
This classic textbook "Dynamical Systems with Applications using MATLAB" provides comprehensive coverage of dynamical nonlinear systems theory for both discrete and continuous systems (including fractals, chaos, and nonlinear systems). The accompanying code attachments correspond to each chapter, enabling readers to conduct experiments and generate visually striking images (such as fractals). These implementations span mechanical systems, chemical kinetics, electronic circuits, species interactions, economics, nonlinear optics, biology, neural networks, and materials science. The repository contains extensive source code with detailed algorithmic explanations and key function descriptions.
Image Encryption Combining DCT and Chaotic Systems
Image encryption through DCT and chaotic system integration, featuring slower processing speeds but valuable for educational implementation and algorithmic study