Yuqiang Jiang
Papers
7
Total Citations
171
H-Index
6
About
Yuqiang Jiang is a control systems researcher whose work centers on multi-agent systems (MASs), adaptive control, and cybersecurity-resilient algorithms for networked nonlinear systems. His research addresses some of the most pressing challenges in cooperative control, including consensus tracking under cyberattacks, actuator faults, output constraints, and communication limitations. Jiang's most impactful contributions include pioneering distributed adaptive secure control frameworks for asynchronous switching nonlinear MASs that counteract sensor attacks and actuator faults (41 citations), and developing finite-time consensus tracking algorithms robust to false data injection (FDI) attacks, with validated applications to single-link robotic systems (38 citations). His innovative tan-type nonlinear mapping function approach for handling output constraints in finite-time consensus problems has garnered significant attention (36 citations), demonstrating both theoretical elegance and practical utility. Beyond security-focused control, Jiang has made notable advances in event-triggered control for communication-efficient MASs, bipartite consensus for heterogeneous systems with time-varying constraints, and adaptive fuzzy output feedback for flexible robotic manipulators. His collective body of work, accumulating over 170 citations within just a few years, reflects a researcher making rapid, meaningful contributions at the intersection of nonlinear control theory, multi-agent coordination, and cyber-physical system resilience.
Research Focus
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Top Papers
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