Papers
3
Total Citations
53
H-Index
2
About
Xiongnan He is a rising scholar in distributed control and game theory, with a focus on multi-agent systems operating under uncertainty and dynamic constraints. His research centers on the critical challenge of achieving Nash equilibrium in non-cooperative games when agents are subject to disturbances, unknown frequencies, and bounded uncertainties—problems central to robotics, smart manufacturing, and networked control. He has made significant contributions by extending classical distributed game-theoretic algorithms to handle high-order integrator dynamics and jointly strongly connected switching networks, ensuring convergence even under adversarial conditions. His most cited work (2023, 33 citations) addresses distributed Nash equilibrium seeking with disturbance of unknown frequencies over switching topologies, while a companion paper (18 citations) tackles high-order dynamics with unknown disturbance bounds. His latest work (2025) pioneers distributed algorithms for stochastic games in robot systems for smart manufacturing, incorporating uncertainty into cost functions. With a growing citation record and a trajectory toward practical, uncertainty-robust multi-agent coordination, He is establishing himself as a key contributor to the next generation of resilient, distributed decision-making systems.
Research Focus
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