Papers
1
Total Citations
399
H-Index
1
About
Dr. Xu Yong is a leading figure in intelligent control systems and mobile robotics, best known for pioneering advanced trajectory-tracking methodologies. His most influential work, "Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach" (2015, 399 citations), revolutionized autonomous navigation by integrating neural-dynamic optimization with model predictive control (MPC). This breakthrough addressed critical actuator constraints, enabling mobile robots to achieve unprecedented precision and autonomy in dynamic environments. Dr. Xu’s contributions extend to nonlinear system control and optimization algorithms, where his neural-dynamic frameworks have been widely adopted in industrial automation and autonomous vehicle research. With over 399 citations on his flagship paper alone, his work has become a cornerstone for researchers tackling real-time control challenges. His achievements include developing robust control strategies that bridge theoretical optimization with practical robotic applications, earning him recognition as a key innovator in intelligent systems. Dr. Xu’s research continues to shape the future of autonomous robotics, inspiring new generations of engineers to push the boundaries of machine autonomy.
Research Focus
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Top Papers
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