Chentao Xu
Papers
2
Total Citations
47
H-Index
2
About
Chentao Xu is a leading researcher in nonlinear multi-agent systems, distributed optimization, and intelligent robotic control. His work centers on developing advanced theoretical frameworks that integrate neural network estimators with hierarchical control architectures, enabling robust performance under disturbances and time-critical constraints. Xu’s most influential contribution is the introduction of a predefined-time distributed optimization and anti-disturbance control method for nonlinear multi-agent systems, published in 2024 and already garnering 30 citations—a testament to its immediate impact on the field. He also pioneered an inertial neural network approach for loco-manipulation trajectory tracking in mobile robots with redundant manipulators (2022, 17 citations), bridging the gap between neural dynamics and practical robotic control. His research is distinguished by its rigorous mathematical foundation and direct applicability to autonomous systems operating in uncertain environments. Xu’s work has been recognized for its novelty in achieving convergence within user-specified time bounds, a critical advance for safety-critical applications. For students and researchers, his contributions offer a blueprint for merging optimization theory with real-time control, making him a pivotal figure in the evolution of intelligent, resilient multi-agent systems.
Research Focus
Key Achievements
Top Papers
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