Abstract
Identification is the experimental determination of the dynamical behaviour of processes and their signals. Measured signals are used to determine the system behaviour within a class of mathematical models. The error between the real process or signal and its mathematical model has to be as small as possible [3.12], [3.13]. On-line identification means the identification with computers in on-line operation with the process. If the measured signals are first stored in a block or arrays this is called batch processing. However, if the signals are processed after each sample instant this is called real time processing.
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© 1981 Springer-Verlag Berlin Heidelberg
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Isermann, R. (1981). On-line Identification of Dynamical Processes and Stochastic Signals. In: Digital Control Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02319-8_23
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DOI: https://doi.org/10.1007/978-3-662-02319-8_23
Publisher Name: Springer, Berlin, Heidelberg
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