Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Event-Triggered H-infinity Filtering for T-S Fuzzy-Model-Based Nonlinear Networked Systems With Multisensors Against DoS Attacks

Authors
Gu, ZhouAhn, Choon KiYue, DongXie, Xiangpeng
Issue Date
6월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Denial-of-service (DoS) attacks; event-triggered mechanism (ETM); fuzzy filter design; multisensor fusion
Citation
IEEE TRANSACTIONS ON CYBERNETICS, v.52, no.6, pp.5311 - 5321
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CYBERNETICS
Volume
52
Number
6
Start Page
5311
End Page
5321
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/142802
DOI
10.1109/TCYB.2020.3030028
ISSN
2168-2267
Abstract
This article focuses on the problem of resilient H-infinity filtering for Takagi-Sugeno fuzzy-model-based nonlinear networked systems with multisensors. A weighted fusion approach is adopted before information from multisensors is transmitted over the network. A novel event-triggered mechanism is proposed, which allows us not only to reduce the data-releasing rate but also to prevent abnormal data being potentially transmitted over the network due to sensor measurement or other practical factors. The problem of denial-of-service (DoS) attacks, which often occurs in a communication network, is also considered, where the DoS attack model is based on an assumption that the periodic attack includes active periods and sleeping periods. By employing the idea of the switching model for filtering error systems to deal with DoS attacks, sufficient conditions are derived to guarantee that the filtering error system is exponentially stable. Simulation results are given to demonstrate the effectiveness of the theoretical analysis and design method.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ahn, Choon ki photo

Ahn, Choon ki
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE