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1
Total Citations
11
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About
Yulin Ni is a rising researcher in intelligent control systems, with a focus on fractional-order dynamics, hysteresis compensation, and neural adaptive control—critical areas for next-generation soft robotics and smart material actuators. Their most cited work, "Adaptive Neural Indirect Inverse Control for a Class of Fractional-Order Hysteretic Nonlinear Time-Delay Systems and Its Application" (2024, 11 citations), introduces a novel neural adaptive fractional-order backstepping indirect inverse control (NAFBIIC) scheme. This contribution addresses the long-standing challenge of managing hysteresis and time-delay nonlinearities in fractional-order systems, offering a robust solution for precision motion control in soft robotics. By integrating neural networks with fractional calculus, Ni’s approach enhances system stability and tracking accuracy, directly impacting the design of more reliable and adaptive robotic systems. Though early in their career, Ni’s work has already garnered attention for its theoretical depth and practical relevance, marking them as a promising figure in the intersection of nonlinear control theory and real-world robotic applications.
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