Bocheng Yan
Papers
2
Total Citations
93
H-Index
2
About
Bocheng Yan is a rising figure in nonlinear control theory, whose work addresses critical challenges in multi-agent systems (MASs) under adversarial conditions. His primary research areas include finite-time consensus tracking, event-triggered control, and secure control against cyber-physical threats. Yan’s major contributions lie in developing adaptive control frameworks that ensure stability and performance despite time-varying disturbances, unknown nonlinearities, and malicious attacks. Notably, his 2023 paper on event-triggered adaptive bipartite finite-time tracking for coopetition MASs (55 citations) introduced a novel command-filtered approach to handle both cooperative and competitive agent interactions, a significant step for real-world networks. His 2022 work on distributed finite-time consensus under false data injection (FDI) attacks (38 citations) provided a security control algorithm validated on single-link robots, demonstrating practical resilience against cyber threats. With over 90 combined citations for these key papers, Yan’s research bridges theoretical rigor and application, offering robust solutions for autonomous systems, robotics, and networked control. His achievements underscore a commitment to advancing secure, efficient, and real-time control in complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
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