Robust fault diagnosis for a class of linear systems with uncertainty

Bin Jiang, Jian Liang Wang, Yeng Chai Soh

Research output: Journal PublicationConference articlepeer-review

3 Citations (Scopus)

Abstract

In this paper, the fault diagnosis problem for a class of uncertain systems is discussed. The systems are transformed into two different subsystems. One is not affected by actuator faults, so the robust observer can be designed under certain conditions. The other whose states can be measured is affected by the faults. The observation scheme is then used for model-based monitoring and failure diagnosis. More specifically, a simple approach for fault detection and isolation (FDI) of actuator faults is presented. Finally, an example of an F16XL aircraft is used to illustrate the applicability of proposed method.

Original languageEnglish
Pages (from-to)1900-1904
Number of pages5
JournalProceedings of the American Control Conference
Volume3
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: 2 Jun 19994 Jun 1999

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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