Papers
1
Total Citations
18
H-Index
1
About
S. S. Ju is a researcher specializing in nonlinear control systems and robotics, with a particular focus on the motion control of underactuated and self-balancing systems. Their most cited work, a 2010 paper on trajectory tracking for a self-balancing two-wheeled robot, introduced an adaptive backstepping sliding-mode controller enhanced by fuzzy basis function networks. This approach effectively handles parameter variations and dynamic coupling, offering a robust solution for precise trajectory tracking—a critical challenge in mobile robotics. With 18 citations, this paper has influenced subsequent research in intelligent control and mechatronics. Ju’s contributions lie at the intersection of sliding-mode control, adaptive systems, and fuzzy logic, demonstrating how hybrid control strategies can improve stability and performance in complex robotic platforms. Their work is notable for its practical relevance to autonomous vehicles and personal transport systems, showcasing a deep understanding of real-world nonlinear dynamics. For students and researchers in control engineering and robotics, Ju’s research provides a foundational example of integrating adaptive and robust control techniques to solve challenging motion control problems.
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Top Papers
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