Explore MATLAB source code curated for "控制" with clean implementations, documentation, and examples.
Implementing neural network control for a first-order inverted pendulum system with MATLAB Simulink simulation, demonstrating detailed application of neural network control strategies including algorithm implementation and model configuration.
Simple GUI design implementation for control and curve plotting in MATLAB using EDIT, POPUP MENU, AXES, and BUTTON controls
Control system implementation for unmanned autonomous vessels' straight-line movement and turning maneuvers, featuring Simulink simulation models with PID controller implementation and waypoint tracking algorithms
Simulation of differential drive wheeled robot control using Lyapunov's direct method and PID algorithms for straight-line and circular trajectory following programs with code implementation details
MATLAB-based modeling of wavelet neural network control for robotic arms using Simulink, complete with source code implementation
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.
A Simulink-based fuzzy PID adaptive control system utilizing three fuzzy inference systems (FIS): dkp, dki, and dkd to independently regulate Kp, Ki, and Kd parameters, enabling automatic PID parameter tuning through fuzzy logic algorithms.
This code implements optimized S-function control for maximum wind energy tracking in wind power generation systems, featuring M-language programming for generator modeling and advanced control algorithms including tip-speed ratio optimization and power coefficient maximization techniques.
The file "duoziyoudu.m" is a standalone executable script that simulates impulse response analysis for a 3-degree-of-freedom system. The files "control.m", "plotresult.m", and "duoziyoudu.mdl" form an integrated simulation workflow: first execute "control.m" to initialize parameters, then run the Simulink model "duoziyoudu.mdl" for dynamic simulation using Kobe earthquake wave data, and finally use "plotresult.m" to visualize the response results with customized plotting functions.
MATLAB/Simulink Simulation Model for Solar Photovoltaic Maximum Power Point Tracking Using Perturb and Observe Algorithm