Event-Triggered H-infinity Filtering for T-S Fuzzy-Model-Based Nonlinear Networked Systems With Multisensors Against DoS Attacks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gu, Zhou | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Yue, Dong | - |
dc.contributor.author | Xie, Xiangpeng | - |
dc.date.accessioned | 2022-08-11T01:41:07Z | - |
dc.date.available | 2022-08-11T01:41:07Z | - |
dc.date.created | 2022-08-10 | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 2168-2267 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/142802 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | DESIGN | - |
dc.subject | STABILIZATION | - |
dc.title | Event-Triggered H-infinity Filtering for T-S Fuzzy-Model-Based Nonlinear Networked Systems With Multisensors Against DoS Attacks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1109/TCYB.2020.3030028 | - |
dc.identifier.scopusid | 2-s2.0-85096846370 | - |
dc.identifier.wosid | 000819019200114 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON CYBERNETICS, v.52, no.6, pp.5311 - 5321 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON CYBERNETICS | - |
dc.citation.title | IEEE TRANSACTIONS ON CYBERNETICS | - |
dc.citation.volume | 52 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 5311 | - |
dc.citation.endPage | 5321 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | STABILIZATION | - |
dc.subject.keywordAuthor | Denial-of-service (DoS) attacks | - |
dc.subject.keywordAuthor | event-triggered mechanism (ETM) | - |
dc.subject.keywordAuthor | fuzzy filter design | - |
dc.subject.keywordAuthor | multisensor fusion | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.