Fault detection for descriptor systems with Markov jump parameters and time-varying delays

Nan Xiao*, Zhiwei Gao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper investigates the observer-based fault detection filtering problem for continuous-time descriptor Markov jump linear systems (DMJLSs). Both parameter uncertainties and state delays are assumed to be time-varying but bounded. A fault detection filter (FDF) is designed such that for all admissible uncertainties, the resultant filtering dynamics is robust stochastically stable, and the residual signal is robust to the unknown input and the known control input but sensitive to the fault. Moreover, an iterative linear matrix inequality (LMI) approach for filter parameter computation as well as the residual evaluation and threshold calculation are also given. The validity of the proposed method is illustrated by a numerical example.

Original languageEnglish
Title of host publicationProceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010
Pages381-386
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010 - QingDao, China
Duration: 15 Jul 201017 Jul 2010

Publication series

NameProceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010

Conference

Conference2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010
CountryChina
CityQingDao
Period15/07/1017/07/10

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