Rongni Yang
Papers
5
Total Citations
61
H-Index
4
About
Dr. Rongni Yang is a leading researcher in the control and security of complex engineering systems, with a primary focus on **switched systems, sliding mode control (SMC), and cyber-physical system (CPS) security**. Her work is distinguished by its dual commitment to both high-performance tracking and robust defense against adversarial threats. A major contribution is her development of an **improved event-triggered sliding mode control** for discrete-time switched systems with disturbances, a framework that reduces communication while maintaining stability. She has also pioneered a **data-driven security control approach** for CPSs under aperiodic Denial-of-Service (DoS) attacks, using a switched system perspective to ensure resilience without requiring a system model. Her most cited work, the 2023 paper on **adversarial FDI attack monitoring** (33 citations), addresses the critical vulnerability of modern industrial electronics to cyber eavesdropping. Beyond security, Dr. Yang has advanced **Iterative Learning Control (ILC)** combined with SMC to solve the persistent challenge of balancing tracking precision with convergence speed. She has also contributed a comprehensive **survey on rehabilitation robots** (2022), highlighting her interest in applying control theory to biomedical systems. Her research is essential for the safe and efficient operation of next-generation networked automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5