Abstract
In this paper, we study the robust fault detection problem of nonlinear systems. Based on the Lyapunov method, a robust fault detection approach for a general class of nonlinear systems is proposed. A nonlinear observer is first provided, and a sufficient condition is given to make the observer locally stable. Then, a practical algorithm is presented to facilitate the realization of the proposed observer for robust fault detection. Finally, a numerical example is provided to show the effectiveness of the proposed approach.
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This work was mainly supported by NSFC (No.60234010), and also partially supported by the Field Bus Technology & Automation Key Lab of Beijing in North China, and the national 973 program of China (No.2002CB312200).
Min-Ze Chen received his B.Eng. degree in Automation from Tsinghua University in 2000. He is currently pursuing a Ph.D. degree in Automation in Tsinghua University, China. His research interests include fault detection and fault prediction.
Qi Zhao received his B.Eng and M.Eng degrees in Automation at Tsinghua University, PR China in 1998 and 2001 respectively. He is currently pursuing his Ph.D. degree in Princeton University, USA. His research interests include fault detection and diagnosis.
Dong-Hua Zhou received his B.Eng, M.Sc and Ph.D. degrees all in Electrical Engineering, at Shanghai Jiaotong University, in 1985, 1988 and 1990, respectively. From 1994 to 1996 he was at the university of Duisburg as an AvH fellow. He is now a professor in the Dept. of Automation at Tsinghua university. His main research interests include fault diagnosis, fault tolerant control, and information fusion.
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Chen, MZ., Zhao, Q. & Zhou, DH. A robust fault detection approach for nonlinear systems. Int J Automat Comput 3, 23–28 (2006). https://doi.org/10.1007/s11633-006-0023-y
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DOI: https://doi.org/10.1007/s11633-006-0023-y