Nonlinear Model Predictive Control with Constraints
This code implements Model Predictive Control (MPC) algorithms for nonlinear plants with constraints, featuring prediction model optimization and constraint handling.
Empirical Mode Decomposition Algorithm
Empirical Mode Decomposition Algorithm Inventor - French Scientist Frandlin
Point Cloud Registration with MATLAB
MATLAB point cloud registration algorithm implementation with ready-to-use examples and transformation matrix output for same-scene point cloud alignment. Includes practical demonstrations and verified functionality.
Image Resampling Detection
This algorithm utilizes image periodicity analysis to identify potential tampering through resampling detection techniques
Discrete Fractional-Order PID Control
This implementation utilizes a discrete fractional-order control algorithm for PID parameter tuning, featuring advanced mathematical foundations for precision control applications.
Particle Swarm Optimization Path Planning Algorithm
Classic implementation scenarios for particle swarm optimization algorithm development, ideal for beginners to quickly grasp the fundamentals with practical code examples
Mie Scattering Algorithm Implementation
Mie scattering is the most fundamental and widely-used algorithm for particle scattering calculations, offering unparalleled accuracy when dealing with particle scattering at wavelength scales. Interestingly, Mie scattering isn't an independent theory but rather an analytical solution of Maxwell's equations for spherical media. Due to the complexity of the solution process, Gustav Mie's pioneering complete solution became classical and was named Mie Theory. Key technical implementation involves coding the complex mathematical formulations using MATLAB, which significantly reduces computational time and improves accuracy through numerical optimization techniques.
Optical Flow Method Detection with MATLAB Implementation
MATLAB code implementation for motion target detection using optical flow algorithm with detailed computational approaches
Pedestrian Detection Algorithm in MATLAB
Implementation of pedestrian detection algorithms using MATLAB's image processing capabilities
Classification of Image Features Using Random Forest Algorithm
Simulation Implementation of Random Forest Algorithm for Image Feature Classification