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An LMI approach to robust fault detection filter design for discrete-time systems with model uncertainty

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5 Author(s)
Maiying Zhong ; Bus. & Manage. Sch., Donghua Univ., Shanghai, China ; S. X. Ding ; Bingyong Tang ; Ping Zhang
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Deals with the design of a fault detection filter for discrete-time systems with both model uncertainty and disturbances. We propose an approach to the solution, which consists of two steps: (a) selection of a stable weighting function matrix, optimized in the sense of the maximum sensitivity from the faults to residual signal; (b) formulation of the design of fault detection filters as a model-matching problem and solving the optimization problem using the LMI technique. The achieved results are illustrated by a numerical example

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Decision and Control, 2001. Proceedings of the 40th IEEE Conference on  (Volume:4 )

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