Daotong Zhang
Papers
3
Total Citations
20
H-Index
3
About
Daotong Zhang is a rising researcher in cyber-physical systems and robotics, with a focus on resilient control under adversarial conditions. Their work centers on developing advanced control frameworks that integrate disturbance estimation, event-triggered mechanisms, and model predictive control (MPC) to ensure stability and security in networked systems. A key contribution is the design of a dynamically triggered estimator-based controller for omnidirectional robots, which unifies uncertainty estimation and control into a single layer—a departure from traditional two-layer approaches. This work has garnered 11 citations. Zhang also introduced a novel MPC framework for cyber-physical systems under denial-of-service (DoS) attacks, incorporating a memory module to maintain performance during communication disruptions, earning 5 citations. Their most recent work (2025) extends these ideas to heterogeneous multi-agent systems, using adaptive event-triggered set-membership formation control, demonstrated on omnidirectional robots. With a growing citation record and a focus on practical robotics applications, Zhang’s research is shaping the future of secure, autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
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