Papers
3
Total Citations
27
H-Index
2
About
Zehui Xiao is a rising researcher in control theory and multi-agent systems, whose work bridges robust filtering, event-triggered control, and formation coordination. Xiao’s most-cited paper, "Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems" (2022, 21 citations), addresses a critical challenge in networked control: designing filters that remain reliable under asynchronous constraints and gain uncertainties. Using a hidden Markov model, this work provides a rigorous framework for resilient state estimation in stochastic jump systems. More recently, Xiao has focused on heterogeneous multi-agent systems, introducing an adaptive event-triggered set-membership formation approach validated on omnidirectional robots (2025, 4 citations), and a virtual neighbor framework for leader-following formation under time-varying topologies (2025, 2 citations). These contributions advance practical coordination strategies for robotic swarms and networked autonomous systems. Xiao’s research is notable for its theoretical depth—combining set-membership methods with event-triggered mechanisms—and its direct application to real-world platforms, marking Xiao as a promising voice in resilient and adaptive multi-agent control.
Research Focus
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