Model Predictive Control Based on State-Space Models
Implementation of Model Predictive Control (MPC) using state-space models demonstrates superior control performance through advanced predictive optimization algorithms for dynamic systems.
Explore MATLAB source code curated for "效果" with clean implementations, documentation, and examples.
Implementation of Model Predictive Control (MPC) using state-space models demonstrates superior control performance through advanced predictive optimization algorithms for dynamic systems.
Parameter estimation for the generalized Gaussian model demonstrates excellent performance! This approach effectively handles data modeling with flexible distribution shapes through robust parameter estimation techniques.
Signal processing methods with time-frequency characteristics that achieve enhanced performance through endpoint processing techniques, involving windowing functions and edge-effect mitigation algorithms.
A program implementing Hessian matrix-based image restoration with excellent results and classic algorithmic approach, featuring robust mathematical transformations and efficient implementation.
This program performs image normalization, allowing flexible input of original images while delivering high-quality results through optimized processing algorithms.
A MATLAB example demonstrating Backpropagation Network implementation using Levenberg-Marquardt algorithm for enhanced training speed and superior performance in pattern recognition applications
A voxel-based 3D reconstruction program from 2D photos, incorporating pre-reconstruction error analysis to achieve satisfactory reconstruction results. The implementation includes algorithms for edge detection and shape recognition through pixel density and color analysis.
This is the source code implementation of the Criminisi algorithm, designed for high-quality image inpainting with excellent restoration results. The implementation includes priority-based patch filling and texture synthesis mechanisms.
Source code for image denoising with accompanying English research paper demonstrating excellent performance, featuring algorithm explanations and implementation details
This RBF program implements function approximation with proven effectiveness through personal debugging and testing. The implementation includes core RBF algorithms with Gaussian basis functions and weight optimization.