Naik, Amol S.; Yin, Shen; Ding, Steven X.:
Subspace Based Identification of Diagnostic Observer for Wiener Systems
In: 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes : (30.06.-03.07.209) - Barcelona, 2009, S. 318 - 323
2009Buchaufsatz/Kapitel in Sammelwerk
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Subspace Based Identification of Diagnostic Observer for Wiener Systems
Autor*in:
Naik, Amol S.;Yin, Shen;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
DOI
10.3182/20090630-4-ES-2003.00053
Erschienen in
7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes : (30.06.-03.07.209)
Erscheinungsort:
Barcelona
Erscheinungsjahr:
2009
in:
S. 318 - 323

Abstract:

A subspace identification technique based design of observer is developed in this paper. In recent attempts a subspace algorithm to identify state space matrices for LTI system with nonlinearity on the output side, or the so called Wiener systems. The results were based on Bussgang's theorem on crosscorrelation functions of amplitude distorted Gaussian signals. We have combined these two important results in order to develop an observer based fault detection system that is identified directly from the test data generated by nonlinear dynamic systems.