Title
Fault detection for a class of nonlinear networked control systems with Markov sensors assignment and random transmission delays
Abstract
The paper investigates the fault detection problem for a class of nonlinear networked control systems with both communication constraints and random transmission delays. The access status of the sensors is governed by a stochastic event, which is modeled as a Markov chain taking matrix values in a certain set. The main task of this paper is to design a mode-dependent fault detection filter, such that for Markov sensors assignment, random network-induced delays and the unknown input signal, the error between the fault and the residual signal is minimized. And the resulting fault detection dynamics is formulated as an H∞ filtering problem of a Markov jump system. The linear matrix inequality-based sufficient conditions for the existence of the fault detection filter are obtained. Finally, two examples are given to show the effectiveness of the developed method.
Year
DOI
Venue
2014
10.1016/j.jfranklin.2014.07.010
Journal of the Franklin Institute
Field
DocType
Volume
Nonlinear system,Matrix (mathematics),Computer science,Fault detection and isolation,Control theory,Markov model,Markov chain,Filtering problem,Control system,Linear matrix inequality
Journal
351
Issue
ISSN
Citations 
10
0016-0032
8
PageRank 
References 
Authors
0.47
28
3
Name
Order
Citations
PageRank
Yanqian Wang1184.99
Shengyuan Xu23541251.22
Shuyu Zhang3144.74