MATLAB Implementation of Active Disturbance Rejection Controller
Source code for Active Disturbance Rejection Controller - an excellent resource for learning ADRC with practical implementation examples and algorithm explanations.
Explore MATLAB source code curated for "学习" with clean implementations, documentation, and examples.
Source code for Active Disturbance Rejection Controller - an excellent resource for learning ADRC with practical implementation examples and algorithm explanations.
This project covers full-bridge phase-shift circuit simulation and practical implementation, featuring SPICE modeling techniques and PWM control algorithm explanations for collaborative learning.
This MATLAB-based state observer implementation provides a comprehensive template suitable for beginners, featuring practical code examples and algorithm explanations for learning state estimation techniques.
A novel optimization algorithm with MATLAB implementation, featuring swarm intelligence principles and iterative solution enhancement techniques for learning and application.
MATLAB source code for thermal fluid dynamics simulations, ideal for mechanical engineering students studying heat transfer phenomena and computational analysis.
This is a traffic flow cellular automaton (CA) model that realistically simulates traffic flow dynamics, featuring code implementation with state transition rules, vehicle movement algorithms, and congestion simulation suitable for traffic engineering research and intelligent transportation system development.
Beginner-friendly MATLAB code for Dynamic Time Warping (DTW) - Learn implementation techniques and practical applications for time series analysis
A comprehensive MATLAB tutorial for beginners with programming implementation guidance, perfect for newcomers starting their technical journey
This MATLAB simulation code provides a practical learning platform for studying robot obstacle avoidance algorithms. The code is ready-to-run upon download and includes comprehensive documentation. Users can customize obstacle maps and adjust parameters to achieve different avoidance behaviors and test various algorithm configurations.
A comprehensive MATLAB implementation of Gaussian background modeling featuring algorithm explanations and practical code demonstrations for computer vision applications.