Professional MATLAB source code with comprehensive documentation and examples
Finite Volume Method for solving one-dimensional and two-dimensional convection-diffusion problems with discretization schemes including central differencing and power-law scheme
MATLAB implementation of mobile robot path planning using artificial potential field method with detailed algorithm explanations and code analysis.
MATLAB simulation for underwater robot control systems, providing significant assistance in research and development. Includes well-documented source code featuring control algorithms, dynamic modeling, and real-time simulation capabilities.
Forward Modeling Simulation Program for Gravity and Magnetic Anomalies of Various Shapes including Spheres, Cylinders, and Plate-like Structures
A practical dynamic economic dispatch program for power systems incorporating wind farms, featuring robust code architecture and algorithm implementation
This program implements forward and inverse kinematics solutions for six-degree-of-freedom robots based on the Denavit-Hartenberg (D-H) parameterization method, featuring automatic calibration and real-time monitoring capabilities.
ARMA time series model for wind power forecasting in wind farms, featuring MATLAB source code implementation with case study analysis
A compact microgrid model incorporating wind turbines and photovoltaic cells for real-time operational monitoring and performance analysis
ARMA Time Series Forecasting Model featuring sample datasets, detailed code annotations, and practical implementation examples
A MATLAB-based finite element program designed for rotor dynamics analysis, implementing algorithms for critical speed and mode shape calculations, steady-state and transient response analysis, along with comprehensive rotor system evaluation capabil
Application Background: Quantitative calculation of top event probability is a crucial aspect of fault tree analysis. Traditional formula-based approaches often involve heavy computational loads, complex procedures, and high error susceptibility. Thi
Finite difference forward modeling of seismic waves for geophysical exploration, serving as a fundamental program for full waveform inversion with implementations including staggered-grid schemes and boundary condition handling.
Implementing a comprehensive image processing pipeline for pavement crack detection: converting images to grayscale, applying noise reduction filters, enhancing contrast through histogram equalization, differentiating between linear and mesh cracks,
Application Background hailangboxing.m is the source program for generating 2D ocean wave profiles, which takes wind scale and frequency number as inputs to produce wave forms under specified wind conditions; SDwave.m is the source program using frac
Implemented the Runge-Kutta method to solve 6-degree-of-freedom dynamic equations of gear systems, with visualization of time-domain responses and bifurcation diagrams in the frequency domain using numerical analysis techniques.
Investigation of distributed generation modeling techniques and control algorithms for microgrid systems, including implementation approaches using simulation platforms like MATLAB/Simulink.
A versatile atmospheric turbulence phase screen simulation function that accurately models laser phase distortions caused by atmospheric disturbances, featuring multiple algorithmic implementations including FFT-based and Zernike polynomial methods.
Implementation of a method for estimating motion blur direction and motion blur length parameters in digital images with code-related algorithm explanations.
Self-developed solution for multi-objective economic dispatch in wind power integration, featuring practical parameter models and currently trending in research.
Application Context: Bearing fault diagnosis program based on PCA technology, complete with data and operational results! Key Technology: Principal Component Analysis (PCA) is a multivariate statistical method that transforms numerous correlated vari