Bouc-Wen Nonlinear Hysteresis Model Simulation
Simulation program for the Bouc-Wen nonlinear hysteresis model enabling parameter analysis of hysteresis curve characteristics through systematic parameter variation studies
Explore MATLAB source code curated for "参数" with clean implementations, documentation, and examples.
Simulation program for the Bouc-Wen nonlinear hysteresis model enabling parameter analysis of hysteresis curve characteristics through systematic parameter variation studies
Pre-configured voltage-current dual-loop controlled inverter with optimized parameters, featuring robust control algorithms and ready for implementation - welcome to download
Implementing PID parameter auto-tuning through Particle Swarm Optimization algorithm with population-based search strategy
A fully encapsulated simulation of doubly-fed induction generator systems with customizable parameter configurations, featuring modular code architecture for flexible wind turbine and grid integration studies.
Visualization of Poincaré sections with customizable parameters and variables for dynamic data exploration
Vector control for permanent magnet synchronous motors, including simulation motor parameters and specific data, suitable for high-precision control of medium-inertia motors with implementation details for coordinate transformation and current regulation.
Calculating and plotting electromagnetic field lines using MATLAB with customizable parameters for flexible analysis
24-hour electric vehicle charging load model with customizable parameters including mileage and charging time distribution, implementing load curve simulations through configurable algorithms
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.
MATLAB source code for Maximum Expected Likelihood (MEL) parameter estimation in Gaussian Mixture Models (GMM), featuring EM algorithm implementation with performance optimizations