معرفی
Péter Stumpf is an Associate Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics. His research focuses on advanced control systems, power electronics, and machine learning applications in electrical drives.
Contact Information:
• Office: Building Q.B114, 1117 Budapest, Magyar tudósok krt. 2. Hungary
• Phone: +36 (1) 463-2870
• Email: Stumpf.Peter@aut.bme.hu
His recent work explores predictive control methods, including Model Predictive Control (MPC) and Reinforcement Learning (RL), applied to permanent magnet synchronous motors, grid-side converters, and high-speed drives. He has developed novel algorithms for optimal current computation, weighting factor assignment, and harmonics compensation.
Key research trends include:
- Integration of machine learning in control systems
- Optimization of power electronics for renewable energy
- Advanced modulation techniques in motor drives
- Compensation of nonlinear effects in high-speed systems
Stumpf Péter در سایتهای دیگر
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