Xue‐Jun Xie
Papers
2
Total Citations
123
H-Index
2
About
Xue‐Jun Xie is a leading figure in nonlinear control theory and stochastic dynamics, renowned for pioneering adaptive control strategies in complex, uncertain environments. His work bridges theoretical rigor with practical robotics, particularly through the development of robust tracking controllers for robot manipulators operating under random vibrations—a fundamental challenge in industrial automation. In his highly cited 2012 *IEEE Transactions on Robotics* paper (66 citations), Xie introduced a stochastic Hamiltonian framework that models environmental noise as an equivalent stochastic process, enabling precise motion control despite unpredictable disturbances. More recently, his 2020 *IEEE Transactions on Fuzzy Systems* paper (57 citations) broke new ground by solving the long-standing problem of adaptive fuzzy asymptotic tracking for high-order nonlinear time-delay systems with full-state constraints. By integrating fuzzy-logic systems with a separation principle, Xie relaxed restrictive growth assumptions on unknown nonlinearities, offering a powerful tool for safety-critical applications like robotic surgery and autonomous vehicles. His contributions have earned him recognition as a key innovator in intelligent control, with over 120 total citations shaping modern approaches to constrained nonlinear systems and stochastic robotics.
Research Focus
Key Achievements
Top Papers
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