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• W1983491306 abstract "In this paper a recursive state-space model identification method is proposed for non-uniformly sampled systems in industrial applications. Two cases for measuring all states and only output(s) of such a system are considered for identification. In the case of state measurement, an identification algorithm based on the singular value decomposition (SVD) is developed to estimate the model parameter matrices by using the least-squares fitting. In the case of output measurement only, another identification algorithm is given by combining the SVD approach with a hierarchical identification strategy. An example is used to demonstrate the effectiveness of the proposed identification method." @default.
• W1983491306 created "2016-06-24" @default.
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• W1983491306 date "2014-11-01" @default.
• W1983491306 modified "2023-09-25" @default.
• W1983491306 title "Recursive State-space Model Identification of Non-uniformly Sampled Systems Using Singular Value Decomposition" @default.
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• W1983491306 doi "https://doi.org/10.1016/j.cjche.2014.09.028" @default.
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