Evaluation of fault diagnosability for networked control systems subject to missing measurements

The evaluation of fault diagnosability for networked control systems subject to missing measurements is addressed in this paper. In particular, the missing probability is assumed to be affected by norm-bounded uncertainties. By considering noise and missing measurements, the quantitative diagnosabil...

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Published inJournal of the Franklin Institute Vol. 355; no. 17; pp. 8766 - 8779
Main Authors Fu, Fangzhou, Wang, Dayi, Liu, Ping, Li, Wenbo
Format Journal Article
LanguageEnglish
Published Elmsford Elsevier Ltd 01.11.2018
Elsevier Science Ltd
Subjects
Control systems
Fault diagnosis
Network topologies
Noise control
Probability distribution
Uncertainty
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Summary:The evaluation of fault diagnosability for networked control systems subject to missing measurements is addressed in this paper. In particular, the missing probability is assumed to be affected by norm-bounded uncertainties. By considering noise and missing measurements, the quantitative diagnosability problem is investigated via the principle of weight. To quantify the effect of uncertain missing probabilities, an interval criterion is presented and uncertainty ratio is defined. Furthermore, a novel method is proposed to alleviate the computation task of evaluating fault diagnosability. The effectiveness of the proposed method is verified by a numerical example.
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content type line 14
ISSN:0016-0032
1879-2693
0016-0032
DOI:10.1016/j.jfranklin.2018.09.016