Mohsen Rakhshan

Papers

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About

Mohsen Rakhshan is a leading researcher in advanced control systems, specializing in the intersection of fractional-order calculus, fuzzy logic, and robotic manipulation. His most-cited work, "Robotic manipulator control based on an optimal fractional-order fuzzy PID approach: SiL real-time simulation" (2019, 36 citations), introduces a pioneering control framework that synergizes fractional-order PID strategies with fuzzy logic to enhance the precision and robustness of robotic manipulators. This contribution is particularly significant for real-time simulation and hardware-in-the-loop applications, offering a novel solution to nonlinear dynamics and system uncertainties. Rakhshan’s research has practical implications for industrial automation, surgical robotics, and autonomous systems, where high-performance control is critical. His work is widely recognized for bridging theoretical advancements with real-world implementation, as evidenced by its sustained citation impact. Beyond this flagship study, Rakhshan continues to explore optimal control design and intelligent system integration, cementing his reputation as an innovator in mechatronics and control engineering. His findings serve as a valuable resource for students and engineers seeking to push the boundaries of robotic autonomy and adaptive control.