Muhammad Ammar Ashraf

University of Science and Technology Beijing

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About

Muhammad Ammar Ashraf is a control systems researcher whose work focuses on the intersection of fractional-order calculus and nonlinear robotic control. His key research areas include fractional-order control theory, computed torque control, and the dynamics of robotic manipulators. His most notable contribution is the development of a fractional-order computed torque control strategy for two-link robotic arms, where he ingeniously combined inverse dynamics linearization with fractional-order PID controllers to achieve superior position tracking performance. This work, published in 2018 and garnering 7 citations, addresses the fundamental challenge of precisely controlling nonlinear robotic systems by leveraging the memory and hereditary properties of fractional calculus. Ashraf’s approach represents a significant advancement over conventional integer-order controllers, offering enhanced robustness and tracking accuracy in the presence of system nonlinearities. His research bridges theoretical control mathematics with practical robotics applications, making his work valuable for engineers developing high-precision robotic systems. As a researcher, Ashraf contributes to the growing body of knowledge on fractional-order control applications, positioning himself at the forefront of this specialized field within nonlinear system control.