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Total Citations
58
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About
Ismail Mansoor is a prominent researcher in the field of advanced control systems, with a primary focus on fractional-order control, sliding mode control, and their applications in robotics. His most-cited work, "Output Feedback Adaptive Fractional-Order Super-Twisting Sliding Mode Control of Robotic Manipulator" (2020), has garnered 58 citations, demonstrating its significant impact on the development of robust and adaptive control strategies for complex robotic systems. Mansoor's major contributions lie in integrating fractional calculus with super-twisting sliding mode techniques, effectively addressing challenges such as chattering reduction and system uncertainty in robotic manipulators. His research bridges theoretical advancements with practical implementations, offering innovative solutions for precision control in automation and mechatronics. By combining adaptive algorithms with fractional-order dynamics, Mansoor has enhanced the stability and performance of nonlinear systems under varying operational conditions. His work is widely recognized for its potential to improve the reliability and efficiency of robotic systems in industrial and service applications. With a growing citation record and a focus on cutting-edge control methodologies, Ismail Mansoor continues to influence the fields of robotics and nonlinear control, making him a notable figure for students and researchers exploring adaptive and robust control paradigms.
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