Papers
2
Total Citations
40
H-Index
2
About
Lele Xi is a rising star in the field of multi-agent systems and nonlinear control theory, whose work bridges the gap between theoretical rigor and practical autonomy. His research focuses on two critical challenges: distributed pursuit-evasion in obstacle-rich environments and prescribed performance control for complex multi-agent networks. In his highly cited 2023 work on "Distributed Encirclement and Capture," Xi introduced the buffered evader-centered bounded Voronoi cell (B-ECBVC) algorithm, enabling multiple pursuers to safely and cooperatively capture an adversarial evader while avoiding collisions—a breakthrough with direct applications in drone swarms and robotic security. His 2025 paper on output feedback prescribed performance control tackles the fundamental limitation of initial consensus error constraints in high-order nonlinear systems, offering a more flexible and robust solution for uncertain multi-agent coordination. With over 40 citations in just two years, Xi’s contributions are rapidly gaining recognition for their elegance and practical impact. His work not only advances the theoretical foundations of distributed control but also provides actionable algorithms for real-world autonomous systems operating in dynamic, unpredictable environments.
Research Focus
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Top Papers
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