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SVM Spectrum Sensing Using MATLAB – Cognitive Radio Project
https://youtu.be/NdeiwDa9030
This project demonstrates spectrum sensing using Support Vector Machine (SVM) in MATLAB, a powerful machine learning approach used in cognitive radio systems for efficient spectrum utilization.

The system detects the presence or absence of primary users by classifying signal features using SVM, improving detection accuracy compared to conventional energy detection methods.

Key Features:

Machine Learning based spectrum sensing
SVM classifier for signal detection
Improved detection accuracy and reliability
Noise and signal classification
MATLAB implementation with code

Software Used:

MATLAB
Machine Learning Toolbox

Applications:

Cognitive Radio Networks
Wireless Communication Systems
5G and Next-Gen Networks
Spectrum Management

This project is ideal for Electronics, Communication, and AI/ML-based research projects.

www.phdresearchlabs.com

[email protected]

WhatsApp: +91 86107 86880

SVM Spectrum Sensing Using MATLAB | Cognitive Radio Simulation Project SVM Spectrum Sensing Using MATLAB – Cognitive Radio ProjectThis project demonstrates spectrum sensing using Support Vector Machine (SVM) in MATLAB, a powerfu...

High Frequency Linked Grid Connected Inverter – Electrical Project
https://youtu.be/P8aNwypozS4

This project demonstrates the modeling and simulation of a high-frequency linked grid-connected inverter for efficient power conversion and renewable energy integration. The MATLAB Simulink model analyzes inverter performance, harmonic reduction, voltage regulation, switching characteristics, and grid synchronization for modern power electronic applications.

🌐 www.phdresearchlabs.com
📧 [email protected]

High frequency linked grid connected inverter Electrical project “MATLAB • COMSOL • HFSS • EV • Power Electronics • AI/MLPhD-Level Research Simulations & Project Support”MATLAB Simulink, COMSOL Multiphysics, HFSS antenna d...

Model Reference Adaptive Control (MRAC) Explained MATLAB Simulink Adaptive Control System Simulation
https://youtu.be/BtbYrWGTNy0

This project demonstrates Model Reference Adaptive Control (MRAC) using MATLAB Simulink for advanced adaptive control system design and performance analysis.

MRAC is a powerful adaptive control technique where the system automatically adjusts controller parameters to match the desired reference model, ensuring stability and robustness under varying conditions.

Key Features:

* MRAC Control Strategy Implementation
* Reference Model Tracking
* Adaptive Parameter Tuning
* Stability and Robustness Analysis
* MATLAB Simulink Simulation

Applications:

* Aerospace and flight control systems
* Robotics and automation
* Industrial process control
* Electric drives and power systems

Suitable For:

* Control Systems Engineering Students
* Electrical & Mechanical Engineers
* M.Tech Scholars
* PhD Researchers

Get Full Project Files:
[www.phdresearchlabs.com](http://www.phdresearchlabs.com)
[[email protected]](mailto:[email protected])
WhatsApp: +91 86107 86880

PhD Research Lab – Projects & Simulation 1 like. "Model Reference Adaptive Control (MRAC) Explained MATLAB Simulink Adaptive Control System Simulation"

Optimization of Electric Vehicle Charging Using PSO on IEEE Bus System | MATLAB Simulink Smart Grid
https://youtu.be/yPXQcV0TLcU

This project presents the optimization of Electric Vehicle (EV) charging using Particle Swarm Optimization (PSO) on an IEEE bus system in MATLAB Simulink.

The proposed approach efficiently manages EV charging loads to minimize power losses, improve voltage stability, and enhance overall grid performance in smart grid environments.

Key Features:

* EV Charging Load Modeling
* Particle Swarm Optimization (PSO) Algorithm
* IEEE Bus System Simulation
* Power Loss Minimization
* Voltage Profile Improvement
* MATLAB Simulink Implementation

Applications:

* Smart Grid and EV Infrastructure
* Load Management in Power Systems
* Renewable Energy Integration
* Electric Vehicle Charging Stations

Suitable For:

* Electrical Engineering Students
* M.Tech Scholars
* PhD Researchers
* IEEE Research Projects

Get Full Project Files:
[www.phdresearchlabs.com](http://www.phdresearchlabs.com)
[[email protected]](mailto:[email protected])
WhatsApp: +91 86107 86880

Optimization of Electric Vehicle Charging Using PSO on IEEE Bus System | MATLAB Simulink Smart Grid This project presents the optimization of Electric Vehicle (EV) charging using Particle Swarm Optimization (PSO) on an IEEE bus system in MATLAB Simulink.The...