α-Optimality evaluation in H∞ identification of low-order uncertainty models
Contributo in Atti di convegno
Data di Pubblicazione:
1997
Citazione:
α-Optimality evaluation in H∞ identification of low-order uncertainty models / Giarrè, L.; Malan, S.; Milanese, M.. - 1:(1997), pp. 175-176. (Intervento presentato al convegno Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) tenutosi a San Diego, CA, USA, nel 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.
Tipologia CRIS:
Relazione in Atti di Convegno
Elenco autori:
Giarrè, L.; Malan, S.; Milanese, M.
Link alla scheda completa:
Titolo del libro:
Proceedings of the IEEE Conference on Decision and Control
Pubblicato in: