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Robust fault estimation of discrete‐time nonlinear plants via a comprehensive partition‐based switching scheme
Author(s) -
Xie Xiangpeng,
Zang Bipeng,
Yue Dong,
Chadli Mohammed
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5119
Subject(s) - partition (number theory) , weighting , nonlinear system , fuzzy logic , computer science , control theory (sociology) , linear subspace , observer (physics) , discrete time and continuous time , fault detection and isolation , scheme (mathematics) , algorithm , mathematics , mathematical optimization , artificial intelligence , statistics , control (management) , medicine , physics , geometry , combinatorics , quantum mechanics , actuator , radiology , mathematical analysis
Summary 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.