A novel approach to design robust fault detection filter for networked control systems |
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Authors: | Li-wei Ma Zuo-hua Tian Song-jiao Shi |
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Institution: | (1) Department of Automation, Shanghai Jiaotong University, Shanghai, 200240, China |
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Abstract: | In this paper, an approach for designing robust fault detection filter (RFDF) of networked control systems (NCSs) with unknown
inputs is studied. The design aims at implementing the optimal trade-off between robustness of unknown inputs (including the
item produced by networked-induced delay) and sensitivity of fault. The key design issue is to introduce an optimal fault
detection filter based on NCSs with the control law compensation as the reference residual model of NCSs and to formulate
the RFDF design as a model-matching problem. By applying H
∞ optimization technique, linear matrix inequality (LMI) approach is given to solve the model-matching problem. The validity
of the proposed approach is shown by a numerical example.
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Keywords: | networked control systems (NCSs) robust fault detection filter (RFDF) model-matching H ∞ optimization linear matrix inequality (LMI) |
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