An asymptotic unbiased recursive identifier for linear systems
- 1 November 1974
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The model reference adaptive system approach together with the positive real lemma for time varying discrete systems are used to construct a recursive identifier with a parallel adjustable model, using an adaptation algorithm having a decreasing gain. The identifier assures an asymptotic unbiased parameter estimation in the presence of noise obscured measurements. Experimental results obtained from simulated data and from the identification of a paper machine are presented. The comparison with the performances of other identification methods is discussed.Keywords
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