Fault detection and isolation of linear impulsive systems

Author

Meskin, Nader ; Khorasani, K.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

6982

Lastpage

6987

Abstract

This paper investigates the development of Fault Detection and Isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an algorithm for its construction is described. The necessary and sufficient conditions for solvability of the fundamental problem of residual generation (FPRG) for linear impulsive systems are obtained by utilizing our introduced unobservability subspace. Simulation results demonstrate the effectiveness of our proposed FDI algorithm.

Keywords

computability; fault diagnosis; filters; linear systems; fault detection filters; fault isolation filters; linear impulsive systems; residual generation; solvability; unobservability subspace; Artificial intelligence; Biological system modeling; Biological systems; Bismuth; Electrical fault detection; Fault detection; Hybrid intelligent systems; Nonlinear filters; Road transportation; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400844

Filename

5400844