Papers
25
Total Citations
703
H-Index
13
About
Saim Ahmed is a control systems researcher whose work sits at the intersection of advanced sliding mode control, fractional calculus, and intelligent robotics. His research has made substantial contributions to the model-free and adaptive control of robotic manipulators and lower-limb exoskeletons, with a particular focus on addressing real-world challenges such as parametric uncertainties, external disturbances, backlash hysteresis, actuator faults, and time delays. Ahmed has pioneered the integration of fractional-order calculus into terminal and super-twisting sliding mode frameworks, yielding controllers that offer faster convergence, reduced chattering, and greater robustness than classical approaches. His 2019 paper on adaptive high-order terminal sliding mode control with time delay estimation has attracted 167 citations, establishing it as a landmark reference in model-independent manipulator control. Equally notable is his work on fault-tolerant and fixed-time control strategies, ensuring system stability even under actuator failures. Across more than ten highly cited publications spanning 2018 to 2023, Ahmed has accumulated over 590 citations, reflecting the broad adoption of his methods by the robotics and control engineering communities. His body of work serves as essential reading for researchers designing reliable, high-performance controllers for complex nonlinear robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Robust Adaptive Control of Robotic Manipulator with Input Time-varying Delay27 citations · 2019
- 10Fixed time sliding mode control for disturbed robotic manipulator24 citations · 2023