Qudrat Khan

International Islamic University Malaysia

Papers

Total Citations

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About

Qudrat Khan is a control systems researcher whose work focuses on advanced nonlinear control strategies for robotic and mechatronic systems. His primary research areas include robust control design, sliding mode control, adaptive control, and observer-based control for uncertain multi-input multi-output (MIMO) systems. Khan's major contributions lie in developing novel control architectures that combine neural networks, adaptive laws, and integral sliding mode techniques to handle system uncertainties, disturbances, and unmodeled dynamics. His most cited work, "Design and Comparison of Two Control Strategies for Multi-DOF Articulated Robotic Arm Manipulator" (2014, 45 citations), introduces the AUTonomous Articulated Robotic Educational Platform (AUTAREP)—a 6-DOF robotic arm—and provides mathematical modeling alongside comparative robust control strategies. This work has been influential in educational robotics and practical manipulator control. Another notable contribution is his paper on "Neuro-adaptive dynamic integral sliding mode control design with output differentiation observer for uncertain higher order MIMO nonlinear systems" (2016, 11 citations), which advances the theory of adaptive sliding mode control by integrating neural networks and observers. Through these works, Khan has demonstrated impact in bridging theoretical control advances with real-world robotic applications, particularly in handling complex, uncertain nonlinear systems.