Papers
2
Total Citations
116
H-Index
1
About
Maojiao Ye is a leading researcher in distributed control and game theory, with a focus on solving complex multi-agent coordination problems under uncertainty. Her primary research areas include Nash equilibrium seeking in networked games, anti-disturbance control, and event-triggered strategies for nonlinear systems. A major contribution is her work on distributed Nash equilibrium seeking for general networked games with bounded disturbances, where she pioneered reduced-order disturbance observer-based algorithms that enable first- and second-order players to achieve equilibrium despite partial information and external perturbations—a critical advance for real-world applications like robotic networks and smart grids. This highly influential paper has garnered 115 citations, reflecting its impact on the field. Her most recent work extends these ideas to Euler–Lagrange systems, addressing distributed adaptive event-triggered Nash equilibrium seeking under physical and cyber uncertainties, tackling urgent challenges in resource-constrained and uncertain networked environments. Through her innovative integration of disturbance rejection and game-theoretic control, Ye has established herself as a key figure in advancing robust, scalable solutions for modern industrial and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2