Xiukun Wei
Papers
1
Total Citations
17
H-Index
1
About
Xiukun Wei is a leading researcher in fault diagnosis, robust control, and their applications to mechatronic and robotic systems. His work focuses on developing advanced model-based techniques for detecting and estimating faults in dynamic systems, with a particular emphasis on linear time-invariant (LTI) systems operating under unknown disturbances. A key contribution is his innovative use of the generalized Kalman-Yakubovich-Popov (KYP) lemma in the finite frequency domain, enabling more precise fault detection and estimation through novel linear matrix inequality (LMI) formulations. This approach, demonstrated in his highly cited 2009 paper on fault detection for LTI systems and validated on a lab robotic manipulator (17 citations), has provided a rigorous framework for improving system reliability and safety. Wei’s work bridges theoretical control theory with practical engineering challenges, offering solutions that are both mathematically sound and implementable. His research has significant implications for autonomous systems, industrial automation, and safety-critical applications, establishing him as a notable figure in the field of fault-tolerant control.
Research Focus
Key Achievements
Top Papers
- 1