Title
Fault diagnosis in a class of differential-algebraic systems
Document Type
Conference Proceeding
Publication Date
11-29-2004
Publication Title
Proceedings of the American Control Conference
Volume
5
First Page
4398
Last Page
4402
Abstract
An Iterative Learning Observer (ILO) is proposed for fault diagnosis in a class of differential-algebraic nonlinear systems described by so-called semi-explicit form with index 1. The main feature of this ILO-based fault diagnosis strategy is that the ILO can estimate both system states and algebraic variable. This is important since both fault detection and estimation can be achieved. As a result the ILO can still track the post-fault system. Moreover, the ILO input can be used to isolate faults. The simulation study presented shows the effectiveness of this ILO-based fault detection and estimation strategy for differential-algebraic systems.
DOI
10.1109/ACC.2004.182642
ISSN
07431619
ISBN
0780383354
Recommended Citation
Chen, Wen; Saif, Mehrdad; and Shafai, Bahram. (2004). Fault diagnosis in a class of differential-algebraic systems. Proceedings of the American Control Conference, 5, 4398-4402.
https://scholar.uwindsor.ca/electricalengpub/408