Izziyyah M. Alsudi
Papers
1
Total Citations
2
H-Index
1
About
Izziyyah M. Alsudi is a rising researcher in advanced motor control systems, with a primary focus on optimizing the performance of Permanent Magnet Synchronous Machines (PMSMs). Her work addresses critical challenges in automation and robotics, where PMSMs are prized for their high efficiency and compact design. Alsudi’s most notable contribution is her 2024 study, "Speed Control of Permanent Magnet Synchronous Machines: ANFIS Design and Performance Evaluation," which introduces an adaptive neuro-fuzzy inference system (ANFIS) as a superior alternative to conventional PID controllers. This work demonstrates how intelligent control can enhance speed regulation and robustness in industrial applications, earning early recognition with 2 citations. While her citation count is still growing, her research marks a significant step toward smarter, more efficient motor control—a key enabler for next-generation automation. Alsudi’s work is particularly relevant for students and engineers seeking to bridge the gap between classical control theory and modern AI-driven approaches. As her publication record expands, she is poised to make further contributions to the field of power electronics and electric drives.
Research Focus
Key Achievements
Top Papers
- 1