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• W2320062019 abstract "This paper is concerned with the problem of robust filtering for uncertain linear discrete-time descriptor systems. The matrices of the system state-space model are uncertain and supposed to belong to a given polytope. A linear matrix inequality based method is proposed for designing linear stationary strictly proper filters, for the one-step prediction, that guarantee the asymptotic stability of the estimation error and an optimized upper-bound on the asymptotic error variance, irrespective of the parameter uncertainty. The proposed robust filter design is based on a parameter-dependent Lyapunov function." @default.
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• W2320062019 date "2006-01-01" @default.
• W2320062019 modified "2023-09-23" @default.
• W2320062019 title "ROBUST FILTERING FOR UNCERTAIN LINEAR DISCRETE-TIME DESCRIPTOR SYSTEMS" @default.
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• W2320062019 doi "https://doi.org/10.3182/20060329-3-au-2901.00198" @default.
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