Sijia Yu

Deakin University, University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Sijia Yu is a leading researcher in the control and security of complex networked systems, with a primary focus on multi-agent systems, fuzzy logic control, and cyber-physical resilience. Her most impactful work addresses the critical challenge of securing delayed fuzzy multi-agent systems against false data injection attacks, where she developed aperiodic sampled-data control strategies to ensure reachable set estimation and H∞ performance—a contribution that has garnered 11 citations and is foundational for secure autonomous coordination. Yu’s expertise also extends to robotic manipulation and locomotion; her work on learning control for robotic manipulators under input saturation (11 citations) provides robust solutions for real-world actuation limits, while her research on dynamical balance optimization for quadruped robots under external perturbations advances legged locomotion in unpredictable environments. By bridging theoretical control design with practical robotic systems, Yu’s work has significant implications for resilient autonomous systems, from drone swarms to industrial robotics. Her research is essential reading for students and engineers working at the intersection of cybersecurity, fuzzy systems, and intelligent control.