Non-fragile H∞ filtering for discrete stochastic Markov jump systems with intermittent measurements

Hainan Zhang; Shen Yan; Mouquan Shen

doi:10.1109/ICICIP.2017.8113930

Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements

Hainan Zhang, Shen Yan, Mouquan Shen

COLLEGE OF ELECTRICAL ENGINEERING AND CONTROL SCIENCE

Nanjing Tech University

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

1 Scopus citations

Abstract

This paper is devoted to the non-fragile H_∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices, sufficient linear matrix inequalities conditions are established to guarantee the stochastic stability and the required H_∞ performance of the filtering error system. Then, a numerical example shows the effectiveness of the proposed approach.

Original language	English
Title of host publication	2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-140
Number of pages	6
ISBN (Electronic)	9781538611685
DOIs	https://doi.org/10.1109/ICICIP.2017.8113930
State	Published - 16 Nov 2017
Event	8th International Conference on Intelligent Control and Information Processing, ICICIP 2017 - Hangzhou, China Duration: 3 Nov 2017 → 5 Nov 2017

Publication series

Name	2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017
Volume	2017-November

Conference

Conference	8th International Conference on Intelligent Control and Information Processing, ICICIP 2017
Country/Territory	China
City	Hangzhou
Period	3/11/17 → 5/11/17

Keywords

intermittent measurements
non-fragile
stochastic Markov jump systems

Access to Document

10.1109/ICICIP.2017.8113930

Cite this

Zhang, H., Yan, S., & Shen, M. (2017). Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements. In 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017 (pp. 135-140). (2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICIP.2017.8113930

Zhang, Hainan ; Yan, Shen ; Shen, Mouquan. / Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements. 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 135-140 (2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017).

@inproceedings{15234dda7f0547c28ff9815dcb2c160b,

title = "Non-fragile H∞ filtering for discrete stochastic Markov jump systems with intermittent measurements",

abstract = "This paper is devoted to the non-fragile H∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices, sufficient linear matrix inequalities conditions are established to guarantee the stochastic stability and the required H∞ performance of the filtering error system. Then, a numerical example shows the effectiveness of the proposed approach.",

keywords = "intermittent measurements, non-fragile, stochastic Markov jump systems",

author = "Hainan Zhang and Shen Yan and Mouquan Shen",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017 ; Conference date: 03-11-2017 Through 05-11-2017",

year = "2017",

month = nov,

day = "16",

doi = "10.1109/ICICIP.2017.8113930",

language = "英语",

series = "2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "135--140",

booktitle = "2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017",

address = "美国",

}

Zhang, H, Yan, S & Shen, M 2017, Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements. in 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017. 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 135-140, 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017, Hangzhou, China, 3/11/17. https://doi.org/10.1109/ICICIP.2017.8113930

Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements. / Zhang, Hainan; Yan, Shen; Shen, Mouquan.
2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 135-140 (2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017; Vol. 2017-November).

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

TY - GEN

T1 - Non-fragile H∞ filtering for discrete stochastic Markov jump systems with intermittent measurements

AU - Zhang, Hainan

AU - Yan, Shen

AU - Shen, Mouquan

PY - 2017/11/16

Y1 - 2017/11/16

N2 - This paper is devoted to the non-fragile H∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices, sufficient linear matrix inequalities conditions are established to guarantee the stochastic stability and the required H∞ performance of the filtering error system. Then, a numerical example shows the effectiveness of the proposed approach.

AB - This paper is devoted to the non-fragile H∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices, sufficient linear matrix inequalities conditions are established to guarantee the stochastic stability and the required H∞ performance of the filtering error system. Then, a numerical example shows the effectiveness of the proposed approach.

KW - intermittent measurements

KW - non-fragile

KW - stochastic Markov jump systems

UR - http://www.scopus.com/inward/record.url?scp=85048152995&partnerID=8YFLogxK

U2 - 10.1109/ICICIP.2017.8113930

DO - 10.1109/ICICIP.2017.8113930

M3 - 会议稿件

AN - SCOPUS:85048152995

T3 - 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017

SP - 135

EP - 140

BT - 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017

Y2 - 3 November 2017 through 5 November 2017

ER -

Zhang H, Yan S, Shen M. Non-fragile H_∞ filtering for discrete stochastic Markov jump systems with intermittent measurements. In 2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 135-140. (2017 8th International Conference on Intelligent Control and Information Processing, ICICIP 2017). doi: 10.1109/ICICIP.2017.8113930