Papers
17
Total Citations
555
H-Index
11
About
Guang-Hong Yang is a prominent control systems researcher whose work spans fault-tolerant control, multi-agent systems, and autonomous robotics. His research addresses some of the most pressing challenges in modern control engineering: ensuring system reliability in the face of actuator and sensor failures, coordinating multi-agent networks under uncertainty, and enabling safe robot navigation in dynamic environments. Yang's most influential contribution, "Fault-tolerant output-constrained control of unknown Euler–Lagrange systems" (2019), has garnered over 200 citations, reflecting the field's strong demand for robust control frameworks that guarantee prescribed tracking accuracy despite system uncertainties. His parallel investigations into simultaneous fault diagnosis for robot manipulators (73 citations) and adaptive logic-based switching fault-tolerant controllers (34 citations) have collectively advanced the theoretical foundations of resilient control design for nonlinear systems. Beyond fault tolerance, Yang has made notable strides in multi-agent coordination, exploring distributed optimization for MIMO nonlinear systems and investigating the ripple effects of cooperative cyberattacks. His recent work integrating safety barrier certificates for obstacle-avoidance tracking in uncertain robotic environments signals a growing focus on secure and safety-critical autonomy. Across more than a decade of sustained research output, Yang has established himself as a rigorous and impactful voice in intelligent control systems.
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