Salman Ijaz

Papers

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About

Salman Ijaz is a rising researcher in the field of robotics and control systems, with a focused expertise in nonlinear dynamics, fractional-order control, and robust trajectory tracking. His work addresses critical challenges in robotic manipulator control, particularly in handling actuator nonlinearities and parametric uncertainties. Ijaz’s most cited paper, "Fractional Order Based Computed Torque Control of 2-link Robotic Arm" (2018, 7 citations), introduces an innovative approach that linearizes nonlinear system dynamics through inverse dynamics and applies a fractional-order PID controller to minimize tracking errors—a method that enhances precision in position control. His more recent contribution, "Finite-time robust trajectory tracking control for robotic manipulator under actuator nonlinearities and parametric uncertainties" (2025, 2 citations), extends this work by ensuring finite-time convergence and robustness, addressing real-world constraints like actuator saturation and model uncertainties. Though early in his career, Ijaz’s integration of fractional calculus with computed torque control marks a notable step toward more reliable and efficient robotic systems. His research holds promise for applications in industrial automation and advanced manufacturing, where precise and robust control is paramount.