Robot Path Planning Implementation using MATLAB
Implementation of robot path planning algorithms with MATLAB, including kinematic modeling and obstacle avoidance techniques
Polynomial Curve Fitting with Sinusoidal Data
MATLAB implementation of polynomial curve fitting for sinusoidal data, incorporating cross-validation techniques (10-fold cross-validation) for model evaluation and prevention of overfitting
Brushless DC Motor MATLAB Simulation Model with Dual-Loop Control
MATLAB simulation model for brushless DC motor employing dual-loop control strategy with detailed implementation approach
Proton Exchange Membrane Fuel Cell Model
A MATLAB-based fuel cell model for energy applications, simulating proton exchange membrane fuel cell performance with comprehensive electrochemical and transport phenomena analysis.
Fourier Transform and Inverse Transform Implementation Examples
(1) A MATLAB-based implementation example of Fourier transform and inverse transform, thoroughly tested and verified. (2) C++ source code for Fourier and inverse Fourier transform algorithms, successfully validated.
Generating Various Forms of Random Numbers
MATLAB enables generation of diverse random number types using functions like rand(), randn(), and randi(), with applications in practical problem-solving including system lifespan modeling, Monte Carlo integration techniques, and business performance forecasting.
Feature Extraction for Human Body Detection
Implementation of feature extraction for human body detection using MATLAB, achieving good performance with potential for simple modifications and enhancements
MATLAB Implementation of Simulation Charge Method (SCM) for High Voltage Power Line Electric Field Analysis
This MATLAB source code implements the Simulation Charge Method (SCM) to calculate power frequency electric fields beneath ultra-high voltage transmission lines. The program generates a validated 2D electric field model at 1.5m above ground level, featuring accurate algorithm implementation and customizable parameters for various transmission line configurations.
Gaussian Elimination for Solving Linear Equations with MATLAB Implementation
MATLAB implementation of Gaussian elimination method for solving linear equations, including comprehensive code comments and source code analysis with algorithm optimization techniques
MATLAB GADS Toolbox: Genetic Algorithm and Direct Search Toolbox
Application Background: Using MATLAB-based genetic algorithm toolboxes is highly convenient as they provide comprehensive function libraries for evolutionary computation. Popular toolboxes include GATBX and GAOT from the University of Sheffield, and MathWorks' GADS (Genetic Algorithm and Direct Search Toolbox), which is MATLAB's built-in optimization toolkit. Many users encounter function call issues due to toolbox differences, particularly when mixing GATBX functions with GADS environments. Key Technology: MATLAB's native genetic algorithm implementation through GADS differs from third-party toolboxes in function libraries and syntax, requiring specific path configuration and version compatibility checks for proper code execution.