Explore MATLAB source code curated for "参数" with clean implementations, documentation, and examples.
FCMDEMO launches an intuitive GUI interface for experimenting with fuzzy c-means clustering parameters on 2-D datasets. Users can select datasets and cluster numbers using GUI controls, then initiate the clustering algorithm. The interface visualizes results and provides parameter adjustment capabilities to optimize clustering performance.
This program demonstrates different Simulink implementations of Voltage-Controlled Oscillators (VCOs). By configuring various parameters, users can achieve diverse simulation effects and study VCO characteristics through modular block configurations.
Source code implementation for broadband MVDR beamforming featuring adjustable parameters and power output represented in decibels, including key algorithm explanations and function descriptions.
FIR filter specifications: Passband range: 0.35π-0.8π, 1dB stopband: <0.2π and >0.8π with 60dB attenuation
MATLAB program implementation for optimizing three PID controller parameters through genetic algorithm with fitness evaluation and evolutionary operations
Neural network-based PID control does not use neural networks to tune PID parameters; instead, it employs a neural network directly as the controller, adjusting PID parameters indirectly by training the neural network's weight coefficients through backpropagation and optimization algorithms.
Improved genetic algorithm implementation for optimizing two key parameters in PID control systems with enhanced coding methodology
This system implements three two-dimensional fuzzy regulators to adjust the parameters (Kp, Ki, Kd) of a PID controller. The control principle involves fuzzifying input variables (error e and error change ec), performing fuzzy logic inference, and defuzzifying outputs through three fuzzy controllers FC1, FC2, and FC3 to determine PID parameter adjustments. Implementation typically involves defining membership functions for input/output variables and designing rule bases mapping (e, ec) combinations to parameter corrections.
Implementation of texture analysis-based image segmentation using Gabor filtering, requiring initial parameter configuration. The Gabor filter consists of a Gaussian kernel with specified variances (sx and sy) along x and y-axes, optimized for texture feature extraction.
Simulation of PID control for BUCK converters with parameter tuning, enabling deeper understanding of PID principles. Learn to use MATLAB for building power electronics simulation circuit models, including implementation approaches for control algorithms and system modeling.