Alireza Fateh

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About

Alireza Fateh is a robotics researcher whose work centers on advanced control strategies for robotic manipulators, particularly focusing on adaptive, model-free, and fractional-order approaches. His major contributions lie in enhancing the precision and robustness of robot control systems while mitigating common issues like chattering and model dependency. His most cited work, "Taylor‐based adaptive sliding mode control method for robot manipulators" (2023, 10 citations), introduces a novel integration of Taylor expansion with sliding mode control to achieve a less conservative gain, effectively reducing chattering—a persistent challenge in SMC. Building on this, his 2024 paper on "Model-free adaptive task-space sliding mode control of a Delta robot using a novel reaching law" (7 citations) extends these principles to high-speed parallel robots, demonstrating practical applicability without requiring a dynamic model. His latest work (2025) explores fractional-order independent joint control, pushing the boundaries of precision in multi-joint systems. Fateh’s research is notable for bridging theoretical control innovations with real-world robotic applications, offering accessible solutions for students and engineers tackling nonlinear dynamics in automation and manufacturing.