The Master's thesis of student Anmar Ijahid Rajab, Department of Electrical Engineering, entitled "Intelligent Control Enhancement of DC-DC Converter Efficiency in Embedded Systems," was discussed. Abstract: The study addressed improving the efficiency and performance of DC-DC converters in embedded systems through intelligent control techniques. This was achieved by comparing PID, FLC, and ANN controllers and proposing a hybrid architecture supervised by a neural predictor (NARMA-L2) to select the most suitable controller in real time. Simulation results and practical experiments on a Boost converter (with a 9-12V input and DC motor loads) demonstrated the hybrid architecture's ability to stabilize a 24V output with very low ripple, rapid response, and high stability under varying loads. This supports applications in renewable energy, electric vehicles, and autonomous devices. The discussion committee consisted of:
1- Prof. Dr. Ziad Hussein Saleh / Chairman
2- Prof. Dr. Zakir Mahmoud Nael / Member
3- Asst. Prof. Dr. Zaidoun Tariq Abdulwahab Member
4- Prof. Dr. Khalaf Salloum Kaid / Member and Supervisor
