Jointly performed computational tasks in the multi-mode system identification

Authors:
Innokenti Semoushin
Affiliations:
Ulyanovsk State University, Ulyanovsk, Russia
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
Year:
2003

Citing 3
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Abstract

In this paper, we propose a new closed-loop multi-mode system identification setup that allows the jointly performed change point detection, fault diagnosis, supervised training of a bank of signature generators, unsupervised identification of the optimal filter, and monitored system accommodation on the basis of incomplete noisy data. We validate the setup by simulating numerical examples.