scholarly journals On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays

2012 ◽  
Vol 92 (4) ◽  
pp. 1117-1125 ◽  
Author(s):  
Hongli Dong ◽  
Zidong Wang ◽  
Huijun Gao
2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Liyuan Hou ◽  
Shouming Zhong ◽  
Hong Zhu ◽  
Yong Zeng ◽  
Lin Shi

This paper purposes the design of a fault detection filter for stochastic systems with mixed time-delays and parameter uncertainties. The main idea is to construct some new Lyapunov functional for the fault detection dynamics. A new robustly asymptotically stable criterion for the systems is derived through linear matrix inequality (LMI) by introducing a comprehensive different Lyapunov-Krasovskii functional. Then, the fault detection filter is designed in terms of linear matrix inequalities (LMIs) which can be easily checked in practice. At the same time, the error between the residual signal and the fault signal is made as small as possible. Finally, an example is given to illustrate the effectiveness and advantages of the proposed results.


2002 ◽  
Vol 35 (1) ◽  
pp. 311-316 ◽  
Author(s):  
P. Zhang ◽  
S.X. Ding ◽  
G.Z. Wang ◽  
D.H. Zhou

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Lina Rong ◽  
Chengda Yu ◽  
Pengfei Guo ◽  
Hui Gao

The fault detection problem for a class of wireless networked control systems is investigated. A Bernoulli distributed parameter is introduced in modeling the system dynamics; moreover, multiple time delays arising in the communication are taken into account. The detection observer for tracking the system states is designed, which generates both the state errors and the output errors. By adopting the linear matrix inequality method, a sufficient condition for the stability of wireless networked control systems with stochastic uncertainties and multiple time delays is proposed, and the gain of the fault detection observer is obtained. Finally, an illustrated example is provided to show that the observer designed in this paper tracks the system states well when there is no fault in the systems; however, when fault happens, the observer residual signal rises rapidly and the fault can be quickly detected, which demonstrate the effectiveness of the theoretical results.


2014 ◽  
Vol 44 (2) ◽  
pp. 226-239 ◽  
Author(s):  
Jinling Liang ◽  
Tingwen Huang ◽  
Tasawar Hayat ◽  
Fuad Alsaadi

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