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About

Anouar Benamor is a control systems researcher whose work sits at the intersection of robust control theory, optimization, and robotics. His primary focus lies in developing advanced sliding mode control (SMC) strategies for nonlinear robotic systems, particularly addressing the persistent challenges of nonlinearities, unmodeled dynamics, and system uncertainties that complicate real-world robotic applications. Benamor's most significant contributions center on the fusion of classical optimal control techniques with intelligent optimization methods. His pioneering work on Optimal Sliding Mode Control (OSMC) — integrating Linear Quadratic Regulator (LQR) frameworks with sliding mode approaches — has offered elegant solutions for trajectory tracking in MIMO robotic systems. His landmark 2018 paper on multi-objective SMC design for SCARA robots, which has garnered 22 citations, introduced a genetic algorithm-based optimization framework that simultaneously balances multiple performance criteria, representing a meaningful advance in intelligent control design. Extending this methodology to discrete-time systems in 2019, Benamor further demonstrated the versatility and scalability of his approach for robotic manipulators. With a growing body of work accumulating over 40 citations, his research provides valuable theoretical and practical tools for engineers and researchers tackling robust control problems in modern robotics and automation systems.