Navid Vafamand

About

Dr. Navid Vafamand is a leading researcher in advanced control systems, with a primary focus on robotic manipulators, mobile robots, and bipedal locomotion. His work is distinguished by the innovative fusion of fractional-order calculus, fuzzy logic, and neural networks to create robust, intelligent controllers. A key contribution is his development of an optimal fractional-order fuzzy PID approach for robotic manipulators, validated through real-time simulation and earning 36 citations. He has also pioneered command filtered backstepping control for flexible joint robots, effectively handling input constraints and disturbances. In theoretical control, Dr. Vafamand advanced the field with a descriptor-based non-quadratic Lyapunov function for Takagi–Sugeno fuzzy systems, ensuring global stability. His practical impact extends to motion control of wheeled mobile robots and finite-time adaptive sliding mode control for 5-link biped robots, addressing real-world challenges like uncertainty and input saturation. With over 50 citations across his top works, Dr. Vafamand’s research bridges sophisticated theory and tangible robotic applications, making him a notable figure in intelligent control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic manipulator control based on an optimal fractional-order fuzzy PID approach: SiL real-time simulation

   36 citations · 2019
2. 2
   Command filtered backstepping control of constrained flexible joint robotic manipulator

   17 citations · 2023
3. 3
   Global non-quadratic Lyapunov-based stabilization of T–S fuzzy systems: A descriptor approach

   17 citations · 2020
4. 4
   A robust intelligent controller-based motion control of a wheeled mobile robot

   6 citations · 2022
5. 5
   Practical finite-time adaptive sliding mode control for 5-link biped robot in the presence of uncertainty

   3 citations · 2022

Key Collaborators

Contact & Links