Yahui Gao
Papers
2
Total Citations
22
H-Index
2
About
Dr. Yahui Gao is a rising scholar in the field of nonlinear control systems, with a focused expertise in multi-agent systems (MASs), adaptive control, and cyber-physical security. Their research addresses critical challenges in ensuring robust and efficient coordination among networked robotic agents, particularly under adversarial conditions. Dr. Gao’s major contributions include pioneering work on prescribed-time and fixed-time consensus tracking control. Their most cited paper (2024, 20 citations) introduces a novel adaptive prescribed-time control scheme for nonlinear MASs under deception attacks, a significant advancement for securing systems where state measurements are unavailable. This work is complemented by a 2025 study on adaptive fixed-time event-triggered control for robotic MASs, which enhances practical applicability by reducing communication overhead. By tackling both time-critical convergence and security constraints, Dr. Gao’s research bridges theoretical rigor with real-world demands in robotics and automation. Their work is increasingly influential in the development of resilient, high-performance multi-agent networks, marking them as a key contributor to next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2