Papers
3
Total Citations
71
H-Index
3
About
Xuan Cai is a leading researcher in the field of nonlinear multi-agent systems and distributed control, with a particular focus on addressing real-world challenges in robotics and autonomous networks. Their major contributions lie in developing innovative adaptive and output-feedback control algorithms that ensure stability, safety, and coordination under complex constraints. Notably, Cai’s 2020 work on consensus control for output-constrained systems with unknown control directions (30 citations) introduced a groundbreaking distributed adaptive approach that handles both output constraints and completely unknown control directions, a significant advancement for uncertain environments. Complementing this, their research on formation tracking for nonholonomic multi-robots (21 citations) and fixed-time leader-following consensus for systems with dynamic uncertainties (20 citations) demonstrates a sustained impact on practical multi-agent coordination, addressing critical issues like connectivity preservation and collision avoidance. With over 70 total citations across these key papers, Cai’s work is highly influential in advancing the theoretical and applied understanding of robust, constraint-aware control for networked autonomous systems, making them a notable figure in modern control theory and robotics.
Research Focus
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