Papers
4
Total Citations
47
H-Index
3
About
Omid Mofid is a control systems engineer whose research sits at the dynamic intersection of advanced sliding mode control, robotics, and autonomous systems. His work focuses on developing robust, finite-time control strategies for complex mechanical platforms — including robotic manipulators, quadrotor unmanned aerial vehicles, parallel manipulators, and rehabilitation exoskeletons — operating under real-world conditions such as external disturbances, actuator faults, and input saturation. Mofid's most influential contribution, garnering 31 citations, introduced an adaptive second-order sliding mode tracking controller for perturbed robotic manipulators, leveraging proportional-integral-derivative switching surfaces to guarantee convergence from arbitrary initial conditions. His subsequent work extended these principles to quadrotor UAVs through disturbance observer-based non-singular terminal sliding mode control, addressing the critical challenge of wind perturbation in aerial navigation. More recently, he has pioneered barrier function-based prescribed performance control for wheelchair exoskeleton robots, with experimental validation demonstrating practical clinical relevance. His 2025 research on parallel manipulators further advances adaptive barrier terminal sliding mode methods capable of handling input constraints. Collectively, Mofid's contributions represent a meaningful push toward safer, more reliable autonomous and assistive robotic systems, making his work valuable reading for researchers tackling real-world control challenges.
Research Focus
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