Xiaotai Wu
Papers
2
Total Citations
15
H-Index
2
About
Xiaotai Wu is a leading researcher in multiagent systems, specializing in distributed consensus control and cooperative optimal protocols for nonlinear dynamics. Their work tackles fundamental challenges in coordinating autonomous agents under complex, real-world conditions, particularly those involving Lipschitz nonlinearities and uncertain environments. Wu’s major contributions include developing innovative Linear Parameter Varying (LPV) approaches that reduce conservatism in cooperative control design, enabling more robust and efficient leader-following and leaderless consensus under both fixed and switching communication topologies. Their highly cited 2024 paper on cooperative optimal consensus control for Lipschitz nonlinear systems under digraphs (8 citations) and their 2023 work on robust leaderless consensus with perturbations (7 citations) have established foundational methods that move beyond reliance on global information, significantly advancing the field’s practical applicability. By addressing critical gaps in robustness and scalability, Wu’s research directly impacts the development of resilient autonomous swarms, from drone formations to distributed sensor networks, making their work essential reading for students and researchers in control theory and multiagent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2