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About

Hossein Komijani is a control systems engineer whose research focuses on advanced nonlinear control strategies for robotic systems, particularly robot manipulators and mobile robots. His major contributions lie in the development of hybrid and fractional-order sliding mode controllers, which address critical challenges such as chattering, uncertainties, and disturbances in dynamic environments. His most cited work, "New Sliding Mode Control of 2-DOF Robot Manipulator Based on Extended Grey Wolf Optimizer" (2020), has garnered 63 citations, showcasing its influence in the field. In this paper, Komijani integrates the Extended Grey Wolf Optimizer (EGWO) with sliding mode control to enhance robustness and trajectory tracking in robot manipulators. He further extends this approach in his 2019 work on robust hybrid fractional-order proportional derivative sliding mode controllers, and in 2021, he introduced a hybrid super-twisting fractional-order terminal sliding mode controller for rolling spherical robots, addressing unmodeled parameters and chattering. Komijani’s work is notable for its innovative fusion of optimization algorithms with fractional calculus, offering practical solutions for real-world robotic applications. His research is highly relevant for students and engineers working on robust control of autonomous systems.