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• W2017393944 abstract "Abstract This paper proposes a spreadsheet method for continuous-time model identification. More precisely, the method is based on the use of the Excel Solver program. First, implementation issues are highlighted. Afterwards, the identification method is illustrated through several examples, including a Monte Carlo simulation analysis to demonstrate the robustness of the tool against noise. The method is also applied to construct the model of two laboratory pilot-scale processes. The results show that process identification can be carried out satisfactorily using the Solver tool." @default.
• W2017393944 created "2016-06-24" @default.
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• W2017393944 date "2013-01-01" @default.
• W2017393944 modified "2023-09-27" @default.
• W2017393944 title "A spreadsheet method for continuous-time model identification" @default.
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• W2017393944 doi "https://doi.org/10.1016/j.measurement.2012.08.027" @default.
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