Robust H∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay

Joint Authors

Li, Zu-xin
Wang, Yan-feng
Wang, Peiliang
Zhou, Zhe

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-08-30

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

This paper investigates the problem of robust H∞ fault detection for networked Markov jump systems with random time-delay which is introduced by the network.

The random time-delay is modeled as a Markov process, and the networked Markov jump systems are modeled as control systems containing two Markov chains.

The delay-dependent fault detection filter is constructed.

Furthermore, the sufficient and necessary conditions which make the closed-loop system stochastically stable and achieve prescribed H∞ performance are derived.

The method of calculating controller, fault detection filter gain matrices, and the minimal H∞ attenuation level is also obtained.

Finally, one numerical example is used to illustrate the effectiveness of the proposed method.

American Psychological Association (APA)

Wang, Yan-feng& Li, Zu-xin& Wang, Peiliang& Zhou, Zhe. 2017. Robust H∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189879

Modern Language Association (MLA)

Wang, Yan-feng…[et al.]. Robust H∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1189879

American Medical Association (AMA)

Wang, Yan-feng& Li, Zu-xin& Wang, Peiliang& Zhou, Zhe. Robust H∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189879

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1189879