✦ LIBER ✦

Multivariable system structure and parameter identification using the correlation method

✍ Scribed by H. El-Sherief

Publisher: Elsevier Science
Year: 1981
Tongue: English
Weight: 308 KB
Volume: 17
Category: Article
ISSN: 0005-1098
DOI: 10.1016/0005-1098(81)90011-x

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✦ Synopsis

This paper describes an algorithm for the structure determination and parameter identification of linear discretetime multivariable systems from input-output measurements. The algorithm starts by determining the structure parameters of a certain canonical state space representation from an estimate of the correlation functions of the output sequence. Then the parameters of the A matrix are estimated from the estimated correlation functions using the recursive least squares method. Finally a normalized stochastic approximation algorithm is used for the estimation of the parameters of the B matrix from input-output measurements.

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