Research Repository

H-infinity fault detection filter design for networked control systems modelled by discrete Markovian jump systems

Mao, Zehui and Jiang, Bin and Shi, Peng (2007) H-infinity fault detection filter design for networked control systems modelled by discrete Markovian jump systems. IET Control Theory and Applications, 1 (5). pp. 1336-1343. ISSN 1751-8644

Full text for this resource is not available from the Research Repository.

Abstract

This paper deals with the design of robust fault detection for networked control systems with large transfer delays, in which it is impossible to totally decouple the fault effects from unknown inputs (including model uncertainties and external plant disturbances). First, we employ the multirate sampling method together with the augmented state matrix method to model the long random delay networked control systems as Markovian jump systems. Then, a Hinfin fault detection filter is designed based on the model developed. Through the appropriate choice of the filter gain, the filter is convergent if there is no disturbance in the system, meanwhile the effect of disturbances on the residual will satisfy a prescribed Hinfin performance. The problem of achieving satisfactory sensitivity of the residual to fault is formulated and its solution is given. Finally, a numerical example is presented to illustrate the effectiveness of the proposed techniques.

Item Type: Article
Uncontrolled Keywords: ResPubID18974, H-infinity control, Markov processes, delays, discrete systems, distributed control, fault diagnosis, filtering theory, sampling methods, stochastic systems
Subjects: FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Depositing User: VUIR
Date Deposited: 21 Dec 2011 22:31
Last Modified: 25 Mar 2015 01:13
URI: http://vuir.vu.edu.au/id/eprint/3337
DOI: 10.1049/iet-cta:20060431
ePrint Statistics: View download statistics for this item
Citations in Scopus: 140 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar