Abstract
A non-parametric approach is proposed for the identification of linear time-invariant discrete-time multivariable systems. It is based on the estimation of the Markov parameters of the system by cross-correlation between the output and a white noise input and can also be used with the system under operation if a dither signal can be added for identification. Results of simulation are included, indicating that the scheme works successfully even when the output measurements are contaminated with considerable amounts of noise.
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