Mina Mirzaie
Papers
3
Total Citations
113
H-Index
3
About
Mina Mirzaie is a researcher specializing in advanced control systems, robotics, and intelligent control methodologies, with a particular focus on the intersection of fuzzy logic and nonlinear control theory. Her work addresses one of the most persistent challenges in robotics engineering: achieving precise, robust control of complex manipulator systems operating under uncertain and dynamic conditions. Mirzaie's most influential contribution, "Design Novel Fuzzy Robust Feedback Linearization Control with Application to Robot Manipulator" (2013), garnered 56 citations and introduced an innovative fuzzy sliding feedback linearization controller applied to a six-degree-of-freedom robotic manipulator. This work demonstrated significant improvements over conventional control methodologies in managing system nonlinearities. Her subsequent research on sliding mode controllers (SMC) enhanced with parallel fuzzy inference system compensators further advanced the field, collectively accumulating nearly 60 additional citations across two highly related publications from 2013 and 2014. Her body of work is particularly valuable to researchers tackling the limitations of pure sliding mode control, including chattering and sensitivity to uncertain dynamic parameters. By integrating fuzzy inference systems as intelligent compensators, Mirzaie has helped establish more stable, adaptable frameworks for controlling highly nonlinear robotic systems, making her research essential reading for engineers and students working in intelligent robotics and modern control theory.
Research Focus
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Top Papers
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