Xiju Zong

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About

Xiju Zong is a leading researcher in advanced robotics control, specializing in trajectory tracking and robust motion control for robotic manipulators. Their work addresses critical challenges in robotic arm systems, including parameter uncertainty, external disturbances, and friction during high-precision operations. Zong’s major contributions include the development of adaptive non-singular sliding mode control strategies that significantly enhance tracking accuracy and system stability under complex dynamic conditions. Their 2023 paper on trajectory tracking control using adaptive non-singular sliding mode has garnered 4 citations, establishing foundational methods for robust robotic control. Zong is particularly recognized for pioneering modified adaptive non-singular terminal sliding mode controllers, which offer superior convergence and disturbance rejection compared to conventional approaches. These innovations have direct applications in industrial automation, surgical robotics, and autonomous systems requiring precise manipulation. By integrating adaptive mechanisms with sliding mode theory, Zong has advanced the reliability and performance of robotic arms operating in uncertain environments. Their work continues to influence both theoretical developments in nonlinear control and practical implementations in next-generation robotic systems.