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Journal Articles International Journal of Robust and Nonlinear Control Year : 2020

Robust fault estimation of discrete‐time nonlinear plants via a comprehensive partition‐based switching scheme

Abstract

The problem of robust fault estimation (FE) for a class of nonlinear systems in discrete-time domain is studied via proposing a comprehensive partition-based switching scheme. Both enhancement factors and attenuation factors are designed synchronously for accomplishing a comprehensive partition of the entire space spanned by the considered normalized fuzzy weighting functions. Thanks to the proposed comprehensive partition-based switching scheme, six subspaces would be obtained by identifying the real-time permutation order of the underlying parameters. Therefore, a novel fuzzy FE observer with six kinds of switching modes can be on-line implemented. As a result, the robust H∞ performance index can be enhanced since much more information is employed than those reported results. Finally, simulation comparisons over the existing results are provided to show the obtained advantages of the article.
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Dates and versions

hal-02906987 , version 1 (27-07-2020)

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Xiangpeng Xie, Bipeng Zang, Dong Yue, Mohammed Chadli. Robust fault estimation of discrete‐time nonlinear plants via a comprehensive partition‐based switching scheme. International Journal of Robust and Nonlinear Control, 2020, 30 (6), pp.6518--6534. ⟨10.1002/rnc.5119⟩. ⟨hal-02906987⟩
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