H<sub>∞</sub> Fault Detection for Networked Control System with Random Markov Delays

HUANG He; XIE Dexiao; ZHANG Dengfeng; WANG Zhiquan

Volume 39 Issue 1

Feb. 2010

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INFORMATION AND CONTROL > 2010 > 39(1): 6-12.

HUANG He, XIE Dexiao, ZHANG Dengfeng, WANG Zhiquan. H_∞ Fault Detection for Networked Control System with Random Markov Delays[J]. INFORMATION AND CONTROL, 2010, 39(1): 6-12.

Citation:

HUANG He, XIE Dexiao, ZHANG Dengfeng, WANG Zhiquan. H_∞ Fault Detection for Networked Control System with Random Markov Delays[J]. INFORMATION AND CONTROL, 2010, 39(1): 6-12.

Citation:

HUANG He, XIE Dexiao, ZHANG Dengfeng, WANG Zhiquan. H_∞ Fault Detection for Networked Control System with Random Markov Delays[J]. INFORMATION AND CONTROL, 2010, 39(1): 6-12.

H_∞ Fault Detection for Networked Control System with Random Markov Delays

School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China

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Received Date: May 24, 2009
Revised Date: August 24, 2009
Published Date: February 19, 2010

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Abstract

Abstract

With the presence of random time-delay introduced by the network,the problem of H_∞ fault detection filter design for a class of networked control systems is investigated.By considering random time-delay that could be described as a Markov process,the networked control system is modeled as discrete-time,finite-dimensional Markov jump linear system.The residual generator is constructed based on this model.The corresponding fault detection problem is formulated as an H_∞ filtering problem.Through appropriate choice of the filter gain,the error between residual and fault is made as small as possible which ensure robustness of the residual against unknown inputs.A sufficient condition to solve this problem is given in terms of the linear matrix inequalities,and the filter design procedure is proposed via the cone complementarity linearization method.The numerical example shows that the proposed fault detection filter is sensitive to the fault but robust to exogenous disturbance.
- networked control system,
- fault detection,
- Markov jump linear system,
- random time-delay

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References (19)

References

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