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A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems
Periodic event-triggered control (PETC) is a control strategy consisting of event-triggered control (ETC) and conventional periodic sampled-data control. By using event-triggering mechanisms (ETM) to periodically verify whether or not to transmit and compute the measured output, communication and co...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481251/ https://www.ncbi.nlm.nih.gov/pubmed/31057349 http://dx.doi.org/10.3389/fnins.2019.00318 |
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author | Zhang, Zuchang Lin, Dongliang Wang, Xingyi Shao, Zhenhua Lin, Wenzhong |
author_facet | Zhang, Zuchang Lin, Dongliang Wang, Xingyi Shao, Zhenhua Lin, Wenzhong |
author_sort | Zhang, Zuchang |
collection | PubMed |
description | Periodic event-triggered control (PETC) is a control strategy consisting of event-triggered control (ETC) and conventional periodic sampled-data control. By using event-triggering mechanisms (ETM) to periodically verify whether or not to transmit and compute the measured output, communication and computational datum are significantly reduced while still retaining a satisfactory performance. This paper investigates the PETC scheme of robust [Formula: see text] (∞) filtering for a class of uncertain discrete-time Takagi-Sugeno (T-S) fuzzy systems, where the sample time is assumed to be a constant. To analyze the filtering problems of the PETC strategy, we present two frameworks based on perturbed linear and piecewise linear systems, to model filtering error systems. Sufficient conditions for the existence of a robust [Formula: see text] (∞) filter are derived in the form of matrix inequalities (LMIs) under these two frameworks, respectively. Finally, a simulation example is used to testify to the effectiveness of the proposed approach. |
format | Online Article Text |
id | pubmed-6481251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64812512019-05-03 A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems Zhang, Zuchang Lin, Dongliang Wang, Xingyi Shao, Zhenhua Lin, Wenzhong Front Neurosci Neuroscience Periodic event-triggered control (PETC) is a control strategy consisting of event-triggered control (ETC) and conventional periodic sampled-data control. By using event-triggering mechanisms (ETM) to periodically verify whether or not to transmit and compute the measured output, communication and computational datum are significantly reduced while still retaining a satisfactory performance. This paper investigates the PETC scheme of robust [Formula: see text] (∞) filtering for a class of uncertain discrete-time Takagi-Sugeno (T-S) fuzzy systems, where the sample time is assumed to be a constant. To analyze the filtering problems of the PETC strategy, we present two frameworks based on perturbed linear and piecewise linear systems, to model filtering error systems. Sufficient conditions for the existence of a robust [Formula: see text] (∞) filter are derived in the form of matrix inequalities (LMIs) under these two frameworks, respectively. Finally, a simulation example is used to testify to the effectiveness of the proposed approach. Frontiers Media S.A. 2019-04-17 /pmc/articles/PMC6481251/ /pubmed/31057349 http://dx.doi.org/10.3389/fnins.2019.00318 Text en Copyright © 2019 Zhang, Lin, Wang, Shao and Lin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhang, Zuchang Lin, Dongliang Wang, Xingyi Shao, Zhenhua Lin, Wenzhong A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title | A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title_full | A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title_fullStr | A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title_full_unstemmed | A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title_short | A Periodic Event-Triggered Design of Robust [Image: see text] Filtering for T-S Fuzzy Discrete-Time Systems |
title_sort | periodic event-triggered design of robust [image: see text] filtering for t-s fuzzy discrete-time systems |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481251/ https://www.ncbi.nlm.nih.gov/pubmed/31057349 http://dx.doi.org/10.3389/fnins.2019.00318 |
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