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α-optimality evaluation in H identification of low-order uncertainty models

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3 Author(s)
Giarre, L. ; Dipt. di Autom. e Inf., Politecnico di Torino, Italy ; Malan, S. ; Milanese, M.

Set membership (SM) H identification is investigated, aimed to estimate a low order approximate model and its identification error, without requiring the selection of a-priori basis for the model class. An α-optimal algorithm is determined using time domain data and assuming l bounded measurement errors and exponentially stable systems. The algorithm presented is proven to be strongly convergent

Published in:

Decision and Control, 1997., Proceedings of the 36th IEEE Conference on  (Volume:1 )

Date of Conference:

10-12 Dec 1997