Mahsa Vaghefi
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mahsa Vaghefi is a control systems researcher whose work focuses on the design of advanced, intelligent controllers for complex nonlinear and robotic systems. Her key research areas include fractional-order control, fuzzy logic systems, and metaheuristic optimization algorithms. Her most notable contribution is the development of a novel Whale Optimization Algorithm (WOA)-based Interval Type II Fuzzy Fractional-order Controller, specifically designed for a two-link robot arm. This work addresses critical challenges in robotics, such as parameter uncertainties and external disturbances, by integrating the robustness of fractional calculus with the adaptability of higher-order fuzzy logic. While her pioneering 2018 paper has garnered initial citations, her broader impact lies in advancing the field of intelligent control for multi-input multi-output systems. Dr. Vaghefi’s research is particularly valuable for students and engineers seeking to understand how bio-inspired optimization can enhance the performance and stability of real-world robotic applications, bridging the gap between theoretical control theory and practical implementation.
Research Focus
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Top Papers
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