Underwater Robot Control Simulation
Underwater Robot Control Simulation with Implementation Methodologies
Simulation Programs for Second-Order Dispersion, Third-Order Dispersion, and Self-Phase Modulation in Nonlinear Fiber Optics
A computational toolset for simulating second-order dispersion, third-order dispersion, and self-phase modulation (SPM) effects in nonlinear fiber optics, providing significant assistance for researchers beginning scientific investigations in this field.
MATLAB Implementation of Doppler Velocity Measurement
Doppler Velocity Measurement: Autocorrelation Frequency Estimation Techniques, Error Analysis, and Simulation Framework Implementation
Brushless DC Motor Control Simulation
A comprehensive and well-structured brushless DC motor control simulation package, originally sourced from international technical platforms, featuring robust algorithm implementations and modular code architecture.
Simulation of Vector Control System for Permanent Magnet Synchronous Motor
Vector control system simulation for permanent magnet synchronous motors (PMSM) using id=0 control strategy, enhanced with position loop integration to achieve PMSM servo system functionality with position tracking capability.
Power System Fault Analysis
Simulation of single-phase grounding faults, two-phase short circuits, and three-phase short circuits in power systems with implementation details
A Photovoltaic Cell Charge-Discharge Model
A photovoltaic cell charge-discharge model built using MATLAB/Simulink, through simulation, effectively demonstrates the charge-discharge characteristics of photovoltaic cells with implementation of key algorithms and control logic.
Simulation of Queueing Theory: Calculating Queue Length, Waiting Time, Service Rate, Arrival and Departure Times, and Other Metrics
Simulation of Queueing Theory: Calculating Key Performance Indicators Including Queue Length, Waiting Time, Service Rate, and Arrival/Departure Timestamps with Code Implementation Details
Raptor Code Simulation Program with Implementation Insights
This Raptor code simulation program effectively addresses various challenges encountered during the learning process, provides accurate simulation results, and offers high practical value with code implementation details and algorithm explanations.
GARCH(1,1) Maximum Likelihood Estimation with Model Validation
MATLAB implementation for estimating GARCH(1,1) model parameters using Maximum Likelihood Estimation (MLE). Includes simulation-based validation testing for Type I and Type II errors (size and power tests) to ensure correct model specification and statistical reliability.