Sensor Fault Estimation of Complex Networks under Event-Triggered Communication

Yanhua Dong; Yang Liu; Maiying Zhong; Ting Xue

doi:10.1109/SAFEPROCESS52771.2021.9693548

Sensor Fault Estimation of Complex Networks under Event-Triggered Communication

Yanhua Dong, Yang Liu, Maiying Zhong, Ting Xue

Shandong University of Science and Technology

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

2 Citations (Scopus)

Abstract

The problem of sensor fault estimation for a kind of nonlinear discrete time-varying complex networks is studied under event-triggered communication. The event-triggered communication protocol is introduced to save communication resources. Two kinds of faults, including the unknown constant fault and the slow drift fault, are considered, which are both modeled as a linear function. For such systems, combining faults with states into augmented states, a distributed estimator for the augmented system is constructed. Then, an estimator gain matrix is obtained to minimize the upper bound which is derived by scaling the estimation error covariance. Finally, a numerical simulation is applied to verify the validity of the estimation method.

Original language	English
Title of host publication	2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes
Subtitle of host publication	SAFEPROCESS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781665401159
ISBN (Print)	9781665401166
DOIs	https://doi.org/10.1109/SAFEPROCESS52771.2021.9693548
Publication status	Published - 1 Feb 2022
Externally published	Yes
Event	12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes - Chengdu, China Duration: 17 Dec 2021 → 18 Dec 2021 Conference number: 12 https://fdd2021.aconf.org/

Conference

Conference	12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes
Abbreviated title	CAA SAFEPROCESS 2021
Country/Territory	China
City	Chengdu
Period	17/12/21 → 18/12/21
Internet address	https://fdd2021.aconf.org/

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@inproceedings{7d1c57f8e17347f8b8c48779f29a1bed,

title = "Sensor Fault Estimation of Complex Networks under Event-Triggered Communication",

abstract = "The problem of sensor fault estimation for a kind of nonlinear discrete time-varying complex networks is studied under event-triggered communication. The event-triggered communication protocol is introduced to save communication resources. Two kinds of faults, including the unknown constant fault and the slow drift fault, are considered, which are both modeled as a linear function. For such systems, combining faults with states into augmented states, a distributed estimator for the augmented system is constructed. Then, an estimator gain matrix is obtained to minimize the upper bound which is derived by scaling the estimation error covariance. Finally, a numerical simulation is applied to verify the validity of the estimation method.",

keywords = "complex networks, distributed estimator., event-triggered communication, Sensor fault estimation",

author = "Yanhua Dong and Yang Liu and Maiying Zhong and Ting Xue",

note = "Funding Information: This paper was supported in part by the National Natural Science Foundation of China under Grants (61873149 and 61733009), and the Research Fund for the Taishan Scholar Project of Shandong Province of China. (Corresponding author: Maiying Zhong.) Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, CAA SAFEPROCESS 2021 ; Conference date: 17-12-2021 Through 18-12-2021",

year = "2022",

month = feb,

day = "1",

doi = "10.1109/SAFEPROCESS52771.2021.9693548",

language = "English",

isbn = "9781665401166",

booktitle = "2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes",

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

address = "United States",

url = "https://fdd2021.aconf.org/",

}

Dong, Y, Liu, Y, Zhong, M & Xue, T 2022, Sensor Fault Estimation of Complex Networks under Event-Triggered Communication. in 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2021., 9693548, Institute of Electrical and Electronics Engineers Inc., 12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, Chengdu, China, 17/12/21. https://doi.org/10.1109/SAFEPROCESS52771.2021.9693548

Sensor Fault Estimation of Complex Networks under Event-Triggered Communication. / Dong, Yanhua; Liu, Yang; Zhong, Maiying et al.
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes: SAFEPROCESS 2021. Institute of Electrical and Electronics Engineers Inc., 2022. 9693548.

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

TY - GEN

T1 - Sensor Fault Estimation of Complex Networks under Event-Triggered Communication

AU - Dong, Yanhua

AU - Liu, Yang

AU - Zhong, Maiying

AU - Xue, Ting

N1 - Conference code: 12

PY - 2022/2/1

Y1 - 2022/2/1

N2 - The problem of sensor fault estimation for a kind of nonlinear discrete time-varying complex networks is studied under event-triggered communication. The event-triggered communication protocol is introduced to save communication resources. Two kinds of faults, including the unknown constant fault and the slow drift fault, are considered, which are both modeled as a linear function. For such systems, combining faults with states into augmented states, a distributed estimator for the augmented system is constructed. Then, an estimator gain matrix is obtained to minimize the upper bound which is derived by scaling the estimation error covariance. Finally, a numerical simulation is applied to verify the validity of the estimation method.

AB - The problem of sensor fault estimation for a kind of nonlinear discrete time-varying complex networks is studied under event-triggered communication. The event-triggered communication protocol is introduced to save communication resources. Two kinds of faults, including the unknown constant fault and the slow drift fault, are considered, which are both modeled as a linear function. For such systems, combining faults with states into augmented states, a distributed estimator for the augmented system is constructed. Then, an estimator gain matrix is obtained to minimize the upper bound which is derived by scaling the estimation error covariance. Finally, a numerical simulation is applied to verify the validity of the estimation method.

KW - complex networks

KW - distributed estimator.

KW - event-triggered communication

KW - Sensor fault estimation

UR - https://www.scopus.com/pages/publications/85126891195

U2 - 10.1109/SAFEPROCESS52771.2021.9693548

DO - 10.1109/SAFEPROCESS52771.2021.9693548

M3 - Conference contribution

AN - SCOPUS:85126891195

SN - 9781665401166

BT - 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes

Y2 - 17 December 2021 through 18 December 2021

ER -

Sensor Fault Estimation of Complex Networks under Event-Triggered Communication

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