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  1. Research Outputs

α-Optimality evaluation in H∞ identification of low-order uncertainty models

Conference Paper
Publication Date:
1997
Short description:
α-Optimality evaluation in H∞ identification of low-order uncertainty models / Giarrè, L.; Malan, S.; Milanese, M.. - 1:(1997), pp. 175-176. ( Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) San Diego, CA, USA, 1997).
abstract:
Set membership (SM) H∞ identification is investigated aimed to estimate a low order approximating 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 supposing l∞ bounded measurement errors and exponentially stable systems. The presented algorithm is proven to be strongly convergent.
Iris type:
Relazione in Atti di Convegno
List of contributors:
Giarrè, L.; Malan, S.; Milanese, M.
Authors of the University:
GIARRÈ Laura
Handle:
https://iris.unimore.it/handle/11380/1207084
Book title:
Proceedings of the IEEE Conference on Decision and Control
Published in:
PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL
Journal
PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL
Series
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