Xiaojian Li
Papers
2
Total Citations
39
H-Index
2
About
Xiaojian Li is a researcher specializing in fault diagnosis and robust control for nonlinear dynamical systems. Their work focuses on developing advanced observer-based methods to detect, isolate, and diagnose faults in uncertain single-output nonlinear systems—a critical challenge for ensuring safety and reliability in engineering applications. In their highly cited 2014 paper (25 citations), Li introduced a robust fault detection and isolation (FDI) framework that employs a switching law to design a state observer capable of asymptotically converging to true system states despite uncertainties and multiple fault scenarios. Their earlier 2013 study (14 citations) advanced fault diagnosis (FD) for affine nonlinear systems by proposing adaptive high-gain observers that leverage persistent excitation conditions with time delays, enabling parallel fault identification. These contributions provide rigorous theoretical foundations for real-time monitoring in aerospace, automotive, and industrial control systems. Li’s work is notable for bridging Lyapunov-based stability analysis with practical FDI implementation, offering scalable solutions for complex nonlinear environments. Their research continues to influence the development of resilient control systems and intelligent fault-tolerant technologies.
Research Focus
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Top Papers
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