Traffic models of periodic event-triggered quantized control systems - Details

Author：

Wei, X. (Wei, X..) | Fu, A. (Fu, A..) | Qiao, J. (Qiao, J..)

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EI Scopus SCIE

Abstract：

Periodic　Event-Triggered　Quantized　Control　(PETQC)　is　a　type　of　event-triggered　control　(ETC)　that　takes　into　account　the　quantization　effect　introduced　by　network　transmission　and　only　requires　to　measure　the　plant　output　periodically　instead　of　continuously.　In　this　work,　we　present　an　abstract　model　for　the　traffic　generated　by　the　dynamics　of　PETQC　implementations.　Construction　of　the　abstract　models　is　done　in　two　steps.　Our　first　step　is　to　divide　the　state　space　into　finite　regions.　Each　region　is　then　analyzed　with　LMIs　to　examine　the　event-triggering　behavior.　The　state　transitions　among　different　regions　are　resulted　from　reachability　analysis.　©　2023　Elsevier　Ltd

Keyword：

Periodic Event-Triggered Quantized Control Networked control systems Formal methods Reachability analysis Systems abstractions

Author Community：

[ 1 ] [Wei X.]Faculty of Information Technology, Beijing University of Technology, China
[ 2 ] [Wei X.]Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing University of Technology, China
[ 3 ] [Wei X.]Beijing Artificial Intelligence Institute, China
[ 4 ] [Wei X.]Beijing Laboratory of Smart Environmental Protection, China
[ 5 ] [Fu A.]Faculty of Information Technology, Beijing University of Technology, China
[ 6 ] [Fu A.]Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing University of Technology, China
[ 7 ] [Fu A.]Beijing Artificial Intelligence Institute, China
[ 8 ] [Fu A.]Beijing Laboratory of Smart Environmental Protection, China
[ 9 ] [Qiao J.]Faculty of Information Technology, Beijing University of Technology, China
[ 10 ] [Qiao J.]Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing University of Technology, China
[ 11 ] [Qiao J.]Beijing Artificial Intelligence Institute, China
[ 12 ] [Qiao J.]Beijing Laboratory of Smart Environmental Protection, China

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Related Keywords：

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Source ：

Nonlinear Analysis: Hybrid Systems

ISSN： 1751-570X

Year： 2023

Volume： 49

ESI Discipline： MATHEMATICS;

ESI HC Threshold：9

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 3

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 0

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