MATLAB Code Implementation for Power Control
Comprehensive power control source code implementation with algorithm explanations and function descriptions, ideal for beginners learning control systems programming
Explore MATLAB source code curated for "帮助" with clean implementations, documentation, and examples.
Comprehensive power control source code implementation with algorithm explanations and function descriptions, ideal for beginners learning control systems programming
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.
This is a MATLAB program for digital predistortion function simulation with effective performance, featuring algorithm implementation and verification through signal processing techniques.
A beginner-friendly MATLAB implementation of Newton's iteration method, featuring practical code demonstrations that provide valuable hands-on experience and clear algorithmic explanations
This MATLAB program for fault line selection in low current grounding systems (LICG) provides valuable learning resources for power system engineers. The implementation demonstrates practical algorithms for identifying ground faults through simulation and analysis.
An advanced robot path planning program developed by our senior researcher, featuring robust algorithmic implementations suitable for various environmental scenarios. This resource provides practical code examples and implementation insights for robotics enthusiasts and researchers.
A MATLAB simulation program for phase-locked loops with detailed annotations, designed to help you understand PLL implementation and functionality through practical code examples.
The underwater acoustic model is an outstanding tool - a true classic among scientific models. It provides immense value for researchers, particularly in implementing signal processing algorithms and simulating underwater communication systems.
This resource includes a comprehensive research paper on subspace identification methods paired with practical program code, providing significant value for learning and implementing subspace identification algorithms
This is an improved MATLAB program for simulating digital predistortion functionality, delivering effective performance and providing valuable assistance for related research and development.