Evaluation of fault diagnosability for networked control systems subject to missing measurements |
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| Authors: | Fangzhou Fu Dayi Wang Ping Liu Wenbo Li |
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| Institution: | 1. Beijing Institute of Control Engineering, China Academy of Space Technology, Beijing 100080, China;2. Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China;3. School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China |
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| Abstract: | 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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| Keywords: | Corresponding author |
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