Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts

Li Sheng; Daikun Chao; Yang Liu

doi:10.23919/ChiCC.2017.8028524

Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts

Li Sheng, Daikun Chao, Yang Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper investigates the fault detection problem for a class of networked control systems (NCSs) with state- and disturbance-dependent noises (also called (x, v)-dependent noises) and multiple packet dropouts. The phenomenon of packet dropouts is governed by a diagonal matrix consisting of a series of mutually independent random variables which satisfy binary distributions with possibly different probabilities. By using the stochastic analysis approach and the linear matrix inequality technique, a fault detection filter is designed which guarantees the stochastic stability in mean square of the overall fault detection dynamics with a prescribed H_∞ performance constraint. An example is provided to illustrate the effectiveness of the obtained results.

Original language	English
Title of host publication	Proceedings of the 36th Chinese Control Conference
Subtitle of host publication	CCC 2017
Editors	Tao Liu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	7400-7404
Number of pages	5
ISBN (Electronic)	9789881563934
ISBN (Print)	9781538629185
DOIs	https://doi.org/10.23919/ChiCC.2017.8028524
Publication status	Published - 11 Sep 2017
Externally published	Yes
Event	36th Chinese Control Conference - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017 Conference number: 36

Publication series

Name	Chinese Control Conference, CCC
Publisher	IEEE
ISSN (Print)	2161-2927
ISSN (Electronic)	1934-1768

Conference

Conference	36th Chinese Control Conference
Abbreviated title	CCC 2017
Country/Territory	China
City	Dalian
Period	26/07/17 → 28/07/17

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10.23919/ChiCC.2017.8028524Licence: Unspecified

Cite this

@inproceedings{36a55c308128444382b2f6e4e71c6b2b,

title = "Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts",

abstract = "This paper investigates the fault detection problem for a class of networked control systems (NCSs) with state- and disturbance-dependent noises (also called (x, v)-dependent noises) and multiple packet dropouts. The phenomenon of packet dropouts is governed by a diagonal matrix consisting of a series of mutually independent random variables which satisfy binary distributions with possibly different probabilities. By using the stochastic analysis approach and the linear matrix inequality technique, a fault detection filter is designed which guarantees the stochastic stability in mean square of the overall fault detection dynamics with a prescribed H∞ performance constraint. An example is provided to illustrate the effectiveness of the obtained results.",

keywords = "(x, v)-Dependent Noises, Fault Detection, Multiple Packet Dropouts, Networked Control Systems",

author = "Li Sheng and Daikun Chao and Yang Liu",

note = "Funding Information: This work is supported by National Natural Science Foundation of China under Grants 61573377, 61403420, Fundamental Research Fund for the Central Universities under Grant 17CX02059, Project for the Applied Basic Research of Qingdao under Grant 16-5-1-3-jch, China Postdoctoral Science Foundation under Grant 2016M600546 and Qingdao Postdoctoral Applied Research Projects under Grant 2016112. Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

year = "2017",

month = sep,

day = "11",

doi = "10.23919/ChiCC.2017.8028524",

language = "English",

isbn = "9781538629185",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "7400--7404",

editor = "Tao Liu and Qianchuan Zhao",

booktitle = "Proceedings of the 36th Chinese Control Conference",

address = "United States",

}

Sheng, L, Chao, D & Liu, Y 2017, Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts. in T Liu & Q Zhao (eds), Proceedings of the 36th Chinese Control Conference: CCC 2017., 8028524, Chinese Control Conference, CCC, IEEE Computer Society, pp. 7400-7404, 36th Chinese Control Conference, Dalian, China, 26/07/17. https://doi.org/10.23919/ChiCC.2017.8028524

Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts. / Sheng, Li; Chao, Daikun; Liu, Yang.

Proceedings of the 36th Chinese Control Conference: CCC 2017. ed. / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. p. 7400-7404 8028524 (Chinese Control Conference, CCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts

AU - Sheng, Li

AU - Chao, Daikun

AU - Liu, Yang

N1 - Conference code: 36

PY - 2017/9/11

Y1 - 2017/9/11

N2 - This paper investigates the fault detection problem for a class of networked control systems (NCSs) with state- and disturbance-dependent noises (also called (x, v)-dependent noises) and multiple packet dropouts. The phenomenon of packet dropouts is governed by a diagonal matrix consisting of a series of mutually independent random variables which satisfy binary distributions with possibly different probabilities. By using the stochastic analysis approach and the linear matrix inequality technique, a fault detection filter is designed which guarantees the stochastic stability in mean square of the overall fault detection dynamics with a prescribed H∞ performance constraint. An example is provided to illustrate the effectiveness of the obtained results.

AB - This paper investigates the fault detection problem for a class of networked control systems (NCSs) with state- and disturbance-dependent noises (also called (x, v)-dependent noises) and multiple packet dropouts. The phenomenon of packet dropouts is governed by a diagonal matrix consisting of a series of mutually independent random variables which satisfy binary distributions with possibly different probabilities. By using the stochastic analysis approach and the linear matrix inequality technique, a fault detection filter is designed which guarantees the stochastic stability in mean square of the overall fault detection dynamics with a prescribed H∞ performance constraint. An example is provided to illustrate the effectiveness of the obtained results.

KW - (x, v)-Dependent Noises

KW - Fault Detection

KW - Multiple Packet Dropouts

KW - Networked Control Systems

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DO - 10.23919/ChiCC.2017.8028524

M3 - Conference contribution

AN - SCOPUS:85032200378

SN - 9781538629185

T3 - Chinese Control Conference, CCC

SP - 7400

EP - 7404

BT - Proceedings of the 36th Chinese Control Conference

A2 - Liu, Tao

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - 36th Chinese Control Conference

Y2 - 26 July 2017 through 28 July 2017

ER -

Fault Detection for Networked Control Systems with (x, v)-Dependent Noises and Multiple Packet Dropouts

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