Abstract
The article proposes a method for creating soft sensors using identification models obtained by associative search algorithm. The method consists in constructing an approximating hypersurface of the space of input vectors and their corresponding one-dimensional outputs at each time instant. Case studies are presented and the advantages of the author’s method over traditional approaches are evaluated are revealed.
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Funding
The reported study was funded: by the Russian Science Foundation, project no. 19-19-00673, by the Russian Foundation for Basic Research, according to the research project by the Russian Foundation for Basic Research and National Science Foundation of China, project no. 21-57-53005.
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Chereshko, A.A. Soft Sensors Based on Digital Models. Autom Remote Control 84, 788–796 (2023). https://doi.org/10.1134/S0005117923070044
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DOI: https://doi.org/10.1134/S0005117923070044