Paper Info
Title
Fault detection for discrete-time networked nonlinear systems with incomplete measurements
Abstract
This article addresses the problem of fault detection FD for discrete-time networked systems with global Lipschitz nonlinearities and incomplete measurements, including time delays, packet dropouts and signal quantisation. By utilising a discrete-time homogeneous Markov chain, an improved model which considers packet dropout compensation has been proposed to describe the above network-induced phenomena. We aim to design a mode-dependent fault detection filter FDF such that the FD system is asymptotically mean-square stable and satisfies a prescribed attenuation level. The addressed FD problem is then converted into an auxiliary H∞ filtering problem of Markov jump system with time-varying delay. A sufficient condition for the existence of the FDF is derived in terms of certain linear matrix inequalities LMIs. When these LMIs are feasible, the explicit expression of the desired FDF can also be characterised. A numerical example is exploited to show the effectiveness of the results obtained.
Year
DOI
Venue
2013
10.1080/00207721.2012.684899
Int. J. Systems Science
Keywords
Field
DocType
fd problem,incomplete measurement,packet dropout,fault detection fd,packet dropout compensation,discrete-time networked system,discrete-time networked nonlinear system,asymptotically mean-square stable,mode-dependent fault,fd system,markov jump system,discrete-time homogeneous markov chain,linear matrix inequality,discrete time,fault detection,nonlinear system,satisfiability,markov chain
Mathematical optimization,Nonlinear system,Matrix (mathematics),Fault detection and isolation,Control theory,Network packet,Markov chain,Filtering problem,Lipschitz continuity,Discrete time and continuous time,Mathematics
Journal
Volume
Issue
ISSN
44
11
0020-7721
Citations 
PageRank 
References 
8
0.49
22
Authors
2
Name
Order
Citations
PageRank
Xiongbo Wan1595.68
Huajing Fang217016.86