Zhang, Ping; Ding, Steven X.; Sader, M.; Noack, R.:
Fault Detection of Uncertain Systems Based on Probabilistic Robustness Theory
In: Proceedings of the American Control Conference 2005 : (08.06. – 10.06.2005) - Portland, USA, 2005, S. 1648 - 1653
2005Buchaufsatz/Kapitel in Sammelwerk
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Fault Detection of Uncertain Systems Based on Probabilistic Robustness Theory
Autor*in:
Zhang, Ping;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;Sader, M.;Noack, R.
DOI
10.1109/ACC.2005.1470204
Erschienen in
Proceedings of the American Control Conference 2005 : (08.06. – 10.06.2005)
Erscheinungsort:
Portland, USA
Erscheinungsjahr:
2005
in:
S. 1648 - 1653
ISBN
0-7803-9098-9

Abstract:

This paper studies the fault detection problem of uncertain linear systems with arbitrary uncertainty structure. With the aid of probabilistic robustness technique, an approach is developed to determine parameters of observer-based residual generators by incorporating probability distribution of model uncertainty in the design. One advantage of the approach is that it needs no assumptions on the structure of model uncertainty. Examples are given to illustrate the proposed design procedure.