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• W2562176749 abstract "This paper considers the identification problem of non-uniformly sampled-data (NUSD) systems with asynchronous input and output data. By using the lifting technique, the lifted transfer function (L-TF) model of the asynchronous NUSD systems is derived. Furthermore, an auxiliary model based recursive least squares (AM-RLS) algorithm is developed to directly identify the L-TF model. In order to avoid the causality constraint problem and improve the computational efficiency, a coupled AM-RLS algorithm is proposed to identify the subsystems of the L-TF model. The effectiveness of the proposed identification algorithms is validated by two simulation examples." @default.
• W2562176749 created "2017-01-06" @default.
• W2562176749 creator A5018598883 @default.
• W2562176749 creator A5051959906 @default.
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• W2562176749 date "2017-03-01" @default.
• W2562176749 modified "2023-10-16" @default.
• W2562176749 title "Identification of non-uniformly sampled-data systems with asynchronous input and output data" @default.
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• W2562176749 doi "https://doi.org/10.1016/j.jfranklin.2016.12.026" @default.
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