Fereshteh Danesh Narouei
Papers
1
Total Citations
55
H-Index
1
About
Fereshteh Danesh Narouei is a control systems researcher whose work focuses on intelligent and adaptive control strategies for nonlinear dynamical systems. Her most-cited paper, "Design of Model Free Adaptive Fuzzy Computed Torque Controller: Applied to Nonlinear Second Order System" (2011, 55 citations), introduces a novel model-free adaptive fuzzy computed torque controller (AFCTC) for a two-degree-of-freedom robot manipulator. This work addresses the challenge of achieving high-performance control without requiring an explicit system model, combining the robustness of computed torque control with the adaptability of fuzzy logic. Her contributions lie at the intersection of robotics, fuzzy systems, and adaptive control, offering practical solutions for complex, nonlinear systems where traditional model-based approaches may fail. With 55 citations on her leading paper, her research has influenced subsequent work in intelligent control design. Danesh Narouei’s achievements include advancing model-free control methodologies, which are particularly valuable for real-world applications where system dynamics are uncertain or time-varying. Her work continues to inspire researchers developing adaptive and fuzzy control techniques for robotic and electromechanical systems.
Research Focus
Key Achievements
Top Papers
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