Mahdi Mir

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About

Dr. Mahdi Mir is a leading researcher in advanced control systems and robotics, with a primary focus on robust and intelligent control strategies for complex mechanical systems. His most-cited work introduces a novel **robust hybrid fractional order proportional derivative sliding mode controller (HFOPDSMC)** for 2-degree-of-freedom robot manipulators. This groundbreaking contribution, published in 2019 with 18 citations, integrates fractional calculus with sliding mode control and optimizes performance using an **extended grey wolf optimizer (EGWO)**. Dr. Mir’s research addresses critical challenges in robot manipulator control—specifically, enhancing robustness against system uncertainties and external disturbances while improving tracking precision and reducing chattering. His work stands out for its innovative fusion of metaheuristic optimization with fractional-order control theory, offering a powerful framework for next-generation robotic systems. Beyond this seminal paper, Dr. Mir continues to advance the field of nonlinear control, making significant strides in applying bio-inspired algorithms to real-world engineering problems. His contributions are highly valued by students and researchers working at the intersection of control theory, optimization, and robotics, providing both theoretical depth and practical solutions for autonomous systems.