Papers
3
Total Citations
37
H-Index
3
About
Mona Raoufi is a control systems researcher whose work focuses on advanced nonlinear control strategies for robotic systems, particularly flexible-link manipulators and bipedal robots. Her research integrates fractional-order calculus, sliding mode control, and adaptive techniques to address the fundamental challenges of precision, vibration suppression, and robustness in robotic applications. In her most cited work, an experimental implementation of a model-free adaptive fractional-order sliding mode controller for a flexible-link manipulator (22 citations), she demonstrated a practical solution to the vibration problems inherent in lightweight robot arms. Her 2022 study on robust prescribed trajectory tracking control using adaptive finite-time sliding mode and extreme learning machine methods (10 citations) advances the field by guaranteeing both transient and steady-state performance under parametric uncertainties. Additionally, her work on fractional-order back-stepping control for 3D biped robots (5 citations) addresses the complex disturbance rejection challenges in humanoid locomotion. Raoufi’s contributions are notable for bridging theoretical control innovations with experimental validation, offering practical pathways for implementing robust, high-performance controllers in real-world robotic systems.
Research Focus
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