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About

Mostafa Abedi is a researcher specializing in advanced control systems, fault-tolerant control (FTC), and robotics, with a particular focus on cable-driven parallel robots. His major contributions lie in developing robust, adaptive control strategies that ensure system reliability and performance under faults and uncertainties. Abedi’s work integrates fault estimation and FTC using H∞-based adaptive observers for nonlinear Lipschitz systems, addressing coupled observer-control dynamics to handle actuator failures and disturbances—a critical advancement for safety-critical applications. He has also pioneered active FTC methods for cable-driven parallel robots, enhancing their resilience in real-world operations. His research further extends to interval type-2 fuzzy sliding mode control, optimized via metaheuristic algorithms, to manage elastic cables and nonlinearities, achieving superior tracking and robustness. With papers accumulating over 20 citations each, Abedi’s impact is evident in both theoretical and applied domains. Notably, his supervisory adaptive fuzzy sliding mode control, combined with Jaya-optimized fuzzy PID surfaces, demonstrates innovative integration of optimization and control for planar cable robots. Abedi’s work is essential for students and researchers in robotics, mechatronics, and control engineering, offering practical solutions for fault-tolerant and adaptive systems.