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- W2912790026 abstract "The practical utility of system identification algorithms is often limited by the reliability of their implementation in finite precision arithmetic. The aim of this paper is to develop a method for the numerically reliable identification of fast sampled systems. In this paper, a data-dependent orthonormal polynomial approach is developed for systems parametrized in the δ -domain. This effectively addresses both the numerical conditioning issues encountered in frequency-domain system identification and the inherent numerical round-off problems of fast-sampled systems in the common Z-domain description. Superiority of the proposed approach is shown in an example." @default.
- W2912790026 created "2019-02-21" @default.
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- W2912790026 date "2018-12-01" @default.
- W2912790026 modified "2023-09-27" @default.
- W2912790026 title "Numerically Reliable Identification of Fast Sampled Systems: A Novel δ-Domain Data-Dependent Orthonormal Polynomial Approach" @default.
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- W2912790026 doi "https://doi.org/10.1109/cdc.2018.8619243" @default.
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