MATLAB Implementation of Sliding Mode Control
Sliding mode control program capable of controlling nonlinear systems with partially unknown parameters, featuring robust disturbance rejection capabilities
Time Delay System Toolbox
A comprehensive time delay system toolbox capable of solving state responses, step responses, and analyzing both linear and nonlinear time delay systems with computational algorithms
Curve Fitting Using Levenberg-Marquardt Algorithm for Nonlinear Least Squares
MATLAB implementation of the Levenberg-Marquardt algorithm for nonlinear least squares curve fitting, including code examples and parameter optimization guidance.
Support Vector Regression
Support Vector Machine (SVM), first proposed by Corinna Cortes and Vapnik in 1995, demonstrates unique advantages in solving small-sample, nonlinear, and high-dimensional pattern recognition problems. It can be extended to other machine learning tasks such as function fitting. In machine learning, SVM is a supervised learning model that analyzes data and recognizes patterns for classification and regression analysis. Key implementation aspects include kernel selection and margin optimization algorithms.
Support Vector Machine Demonstration for Classification Problems
A comprehensive demonstration program showcasing Support Vector Machine applications in classification problems, featuring both linear and non-linear implementations with practical code examples.
Visualized Nonlinear Support Vector Machine for Multi-Class Classification
Sharing a visualized nonlinear SVM multi-classification source code that is practical and easy to learn, featuring kernel function implementation and decision boundary visualization, worthy of further development.
MATLAB Program for Nonlinear Least Squares Optimization Problems
MATLAB implementation for solving nonlinear least squares optimization problems with practical code examples and algorithm explanations
Enhanced Nonlinear Anisotropic Diffusion for Edge-Preserving Image Denoising
The improved nonlinear anisotropic diffusion method for edge-preserving image denoising incorporates second-order derivatives to achieve superior filtering performance and better edge preservation.
Nonlinear Kalman Filter Toolbox
MATLAB Nonlinear Kalman Filter Toolbox featuring UKF, PF, and other algorithms with robust implementation for nonlinear state estimation
Evolutionary Algorithm for Particle Filter Optimization in Nonlinear Non-Gaussian Environments
Advanced evolutionary algorithm implementation for optimizing particle filters in nonlinear non-Gaussian scenarios with performance enhancement capabilities