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• W2092134366 abstract "A survey is presented of the existing literature on the identification of linear multivariable discrete-time systems from input-output data. The existing algorithms are classified according to the model used in the identification problem and a comparison is made between the different models. Emphasis is given to on-line algorithms for the identification from noisy data. Some new ideas for solving the problem are also presented," @default.
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• W2092134366 date "1979-01-01" @default.
• W2092134366 modified "2023-10-12" @default.
• W2092134366 title "IDENTIFICATION AND MODELING FOR LINEAR MULTIVARIABLE DISCRETE-TIME SYSTEMS: A SURVEY" @default.
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• W2092134366 doi "https://doi.org/10.1080/01969727908927593" @default.
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