Mohammad Al‐Rawi
Papers
3
Total Citations
63
H-Index
3
About
Mohammad Al-Rawi is a control systems researcher whose work sits at the intersection of robust control theory, sliding mode control, and intelligent robotics. His research focuses primarily on developing advanced control strategies for complex, uncertain dynamical systems — particularly flexible joint robot manipulators and underactuated aerial systems. Al-Rawi has made notable contributions to the field through his design of observer-based sliding mode controllers capable of handling real-world challenges such as nonlinearities, coupling dynamics, unmodeled uncertainties, and unpredictable external disturbances. His most impactful work, "Practically Robust Fixed-Time Convergent Sliding Mode Control for Underactuated Aerial Flexible Joint Robots Manipulators" (2022), has accumulated 53 citations, demonstrating significant community recognition for its novel approach to guaranteeing fixed-time convergence in particularly demanding control scenarios. His subsequent contributions, including the High-Order Extended State Observer (HOESO)-based sliding mode framework and the Reduced-Order Extended State Observer (RESO) approach for Brunovsky systems, reflect a consistent commitment to enhancing tracking performance under time-varying disturbances. Collectively, Al-Rawi's research offers practical, mathematically rigorous solutions that advance the reliability and precision of autonomous robotic and aerial systems — making his work valuable reading for researchers in mechatronics, robotics, and nonlinear control engineering.
Research Focus
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Top Papers
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