Automotive Professional Simulation Software - ADVISOR
ADVISOR - Automotive Professional Simulation Software Operating in MATLAB Environment
Explore MATLAB source code curated for "运行" with clean implementations, documentation, and examples.
ADVISOR - Automotive Professional Simulation Software Operating in MATLAB Environment
A comprehensive program for wind-solar hybrid power system optimization that determines the optimal configuration of wind turbines, PV modules, and battery storage systems through algorithmic calculations
Simulation results that can be directly executed with parameters designed according to distributed configuration principles
This comprehensive coursework on nonlinear control theory features classical concepts with fully executable code implementations. Meticulously developed and thoroughly tested, this project serves as an excellent learning resource for students studying advanced control systems. The implementation includes robust algorithms for nonlinear system analysis and controller design.
MATLAB implementation of Itti's classical visual saliency model - ready-to-run code with complete validation available for download.
This MATLAB program computes the maximum Lyapunov exponent of time series using Wolf's method. It is a complete implementation optimized for fast execution, ready to run directly without modifications. The algorithm employs chaos analysis based on Lyapunov exponents to study chaotic characteristics of time series through feature extraction.
A self-developed polynomial fitting program allows users to select polynomial degrees and includes a sample data file for immediate execution. The implementation supports custom data input and features a user-friendly interface with adjustable fitting parameters through MATLAB's polyfit and polyval functions.
A debugged canonical correlation analysis program ready for immediate execution, featuring robust data preprocessing and correlation coefficient computation.
This package provides ready-to-use MATLAB code for grey prediction modeling, featuring pre-debugged implementations that require only data input for successful execution. The code includes core algorithms like GM(1,1) and supports parameter optimization for improved forecasting accuracy.
A comprehensive MATLAB implementation of maximum entropy restoration algorithm featuring detailed code comments, direct execution capability, and comparative analysis with Wiener and Blind LUCY methods for educational purposes