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• W2912751898 abstract "It is well known that, in some industrial process identification situations, measurements can be collected from closed-loop experiments for several reasons such as stability, safety, and performance constraints. In this paper, we investigate the problem of identifying continuous-time fractional closed-loop linear parameter varying systems. The simplified refined instrumental variable method is developed to estimate both coefficients and differentiation orders. This method is established to provide consistent estimates when the output and the scheduling variable are contaminated by additive measurements noise. The proposed scheme is evaluated in comparison with other approaches in terms of a simulation example." @default.
• W2912751898 created "2019-02-21" @default.
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• W2912751898 date "2019-01-23" @default.
• W2912751898 modified "2023-10-14" @default.
• W2912751898 title "On the fractional closed-loop linear parameter varying system identification under noise corrupted scheduling and output signal measurements" @default.
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• W2912751898 doi "https://doi.org/10.1177/0142331218821409" @default.
• W2912751898 hasPublicationYear "2019" @default.
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