Explore MATLAB source code curated for "仿真" with clean implementations, documentation, and examples.
This project performs comprehensive simulations and comparative analysis of various network coding algorithms using MATLAB, with detailed performance comparison charts demonstrating the relative strengths and applications of each coding scheme.
Simulation of low-current grounding faults in power systems, modeling voltage and current waveforms under two neutral configurations in a 10KV system: ungrounded neutral and neutral grounded via arc suppression coil. The simulation includes mathematical modeling of transient behaviors and visualization of fault characteristics through waveform analysis algorithms.
A MATLAB toolkit for optical components enabling spot simulation, geometric aberration analysis (including coma and spherical aberration), and MTF simulation for comprehensive optical performance evaluation.
MATLAB-based spatial arc interpolation and simulation implementation, featuring independently developed M-file functions with standardized programming interfaces for enhanced usability in robotics and CNC applications
MATLAB code for proportional navigation ideal trajectory simulation, providing differential equations of proportional navigation method. The implementation uses MATLAB programming language to conduct 3D data simulation of missile ideal trajectories, generates 3D ideal trajectory plots, and analyzes trajectory characteristics under varying missile and target parameters with computational approach explanations.
Developed a fuel cell-based distributed power generation system with grid parallel connection capability and conducted comprehensive simulation analyses to validate system performance.
MATLAB program for implementing cellular automata (CA) - a computational model used to simulate local rules and interactions. This implementation defines CA on a grid structure where each cell represents a discrete entity with finite states. The core algorithm applies transition rules simultaneously to all cells based on their current state and the states of their neighboring cells (typically 4 or 8 neighbors). Cellular automata find applications in physics simulation, biological modeling, and complex system analysis.
An implementation of model predictive control featuring comprehensive simulations across different prediction horizons (P), generating high-quality performance curves with detailed algorithmic insights
Implementation and testing of Generalized Predictive Control (GPC) algorithms through MATLAB simulations, with practical applications in robotics, autonomous vehicles, and aerospace systems
MATLAB-based Simulation of Single-Phase Full-Bridge Inverter using Sinusoidal Pulse Width Modulation (SPWM)