Xiaohua Ge
Papers
7
Total Citations
1,046
H-Index
6
About
Xiaohua Ge is a leading researcher in the field of multi-agent systems (MAS), with a particular focus on cooperative control, formation control, and secure networked robotics. His work addresses critical challenges in distributed systems, including aperiodic sampling, communication delays, and cyber-physical security threats. Ge’s highly cited 2017 survey on distributed sampled-data cooperative control (383 citations) has become a foundational reference in the area, while his work on cluster formation under aperiodic sampling and delays (306 citations) provides practical solutions for real-world networked systems. He has also made significant contributions to fixed-time and prescribed-time consensus control (306 citations), offering engineers predictable settling times independent of initial conditions. More recently, Ge has advanced secure control strategies for mobile robots under replay attacks and malicious packet losses, and explored cutting-edge applications like mobility-as-a-resilience service in the Internet of Robotic Things (IoRT) using multi-agent deep reinforcement learning. His research integrates theory with experimental validation, as demonstrated in his cooperative learning-based tracking control work. With over 1,000 total citations and a rapidly growing portfolio, Ge is shaping the future of resilient, intelligent multi-robot systems.
Research Focus
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Top Papers
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