Paper Info
Title
Fault detection for a class of non-linear networked control systems with data drift
Abstract
In this paper, the fault detection problem is studied for a class of non-linear discrete-time networked control systems (NCSs). An individual stochastic variable satisfying a certain probabilistic distribution is utilised to describe the data drift of each sensor. The random transmission delays with the upper bound and the data drift phenomena are taken into account in a unified framework. By augmenting the states of the original non-linear NCS and the constructed full-order fault detection filter, the resulting fault detection dynamics is converted into an H∞ filtering problem of a non-linear time-delay system. A sufficient condition for the existence of the designed fault detection filter is given in terms of a feasible linear matrix inequality, guaranteeing that the fault detection dynamics is stochastically stable and attains the prescribed H∞ attenuation level. Finally, a numerical example is presented to show the effectiveness of the proposed method.
Year
DOI
Venue
2015
10.1049/iet-spr.2014.0055
IET Signal Processing
Keywords
Field
DocType
h∞ filters,control system synthesis,delays,discrete time systems,fault tolerant control,linear matrix inequalities,networked control systems,nonlinear control systems,probability,stability,h∞ filtering problem,lmi,attenuation level,data drift phenomena,discrete-time systems,full-order fault detection fllter,linear matrix inequality,nonlinear networked control systems,probabilistic distribution,random transmission delays,stochastic stability,stochastic variable,time-delay system
Mathematical optimization,Random variable,Nonlinear system,Fault detection and isolation,Upper and lower bounds,Control theory,Filtering problem,Attenuation,Control system,Linear matrix inequality,Mathematics
Journal
Volume
Issue
ISSN
9
2
1751-9675
Citations 
PageRank 
References 
2
0.37
26
Authors
3
Name
Order
Citations
PageRank
Yanqian Wang1184.99
Shuyu Zhang2144.74
Yongbo Li320.37