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Fault diagnosis based on high-gain observer with an update law for a class of nonlinear systems
Received:2008/10/25  Revised:2009/5/23
Keywords:Fault diagnosis  Adaptive estimation  High-gain observer  Nonlinear systems
Fund Project:This work was supported by the National Science Foundation of China (No.61074091), the National Science Foundation of Hubei Province (No.2008CDZ046, 2008CDZ047), the Scientific Innovation Team Project of Hubei Provincial Department of Education (No.T200809) and the Science Foundation of Education Commission of Hubei Province (No.D20091305).
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Yanjun SHEN College of Science, China Three Gorges University, Yichang Hubei 443002, China shenyj@ctgu.edu.cn 
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Abstract:
      In this paper, by using the well-known high-gain observer design, an update law for the gain and an adaptive estimation of parameters, a new method of fault diagnosis for a class of nonlinear systems is presented. Without resort to any transformation for the parameters, the estimation errors of the states and the parameters are guaranteed to be globally exponentially convergent by a persistent excitation condition. Compared to the existing results, it can be applied to nonlinear systems with nonlinear terms admitting an incremental rate depending on the measured output. A case study further verifies the validity of the proposed research.
Yanjun SHEN.Fault diagnosis based on high-gain observer with an update law for a class of nonlinear systems[J].Journal of Control Theory and Applications,2010,8(4):447~452.
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