|Table of Contents|

Fault Detection of Networked Control Systems Based on Neural Network Prediction

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

Issue:
2010年01期
Page:
19-23
Research Field:
Publishing date:

Info

Title:
Fault Detection of Networked Control Systems Based on Neural Network Prediction
Author(s):
ZHANG Jie1; BO Yu-ming1; Lü Ming2
1.School of Automation,NUST,Nanjing 210094,China;2.Center of Product Research andDevelopment,Nanjing North Information Industry Group Ltd.,Nanjing 211153,China
Keywords:
networked control systems;  fault detection;  output delay;  neural network prediction;  observers
PACS:
TP273
DOI:
-
Abstract:
Considering a class of networked control system with long time delays,and assuming that the system has output delays,the fault detection is carried out.Neural network prediction for the delay sampling value of the network control system make the control system with long time delays a control system without delay.The error equation of the fault observer is constructed based on a neural network prediction.The stability condition of this observer is proved.When the system is normal and the given inequality condition is satisfied,the observer system is stable.When a fault occurs,the observer residue can change rapidly and detect the occurrence of the fault.Finally,an illustrative example is given to demonstrate that the method here can well predict the network-induced delay time and detect fault of the network control system.

References:

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Last Update: 2012-11-02