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- W2033302083 abstract "At the heart of adaptive/predictive process control is the process identification algorithm. Recursive least squares, the most popular identification algorithm, has severe limitations that restrict its use in many industrial applications. Several improved versions of recursive least squares have been published by various authors. Three of these algorithms are compared for robustness using computer simulations. The robustness is evaluated based on the prevention of drift and covariance blowup, and on the convergeence and tracking of parameters. The advantages and limitations of each algorithm are discussed." @default.
- W2033302083 created "2016-06-24" @default.
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- W2033302083 date "1991-01-01" @default.
- W2033302083 modified "2023-09-25" @default.
- W2033302083 title "COMPARISON OF IMPROVED RECURSIVE IDENTIFICATION ALGORITHMS" @default.
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- W2033302083 doi "https://doi.org/10.1080/00986449108911574" @default.
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