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Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures

The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance...

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Detalles Bibliográficos
Autores principales: Wang, Hao, Xie, Shousheng, Zhou, Bin, Wang, Weixuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982753/
https://www.ncbi.nlm.nih.gov/pubmed/31861515
http://dx.doi.org/10.3390/s20010027
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author Wang, Hao
Xie, Shousheng
Zhou, Bin
Wang, Weixuan
author_facet Wang, Hao
Xie, Shousheng
Zhou, Bin
Wang, Weixuan
author_sort Wang, Hao
collection PubMed
description The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method.
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spelling pubmed-69827532020-02-28 Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures Wang, Hao Xie, Shousheng Zhou, Bin Wang, Weixuan Sensors (Basel) Article The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method. MDPI 2019-12-19 /pmc/articles/PMC6982753/ /pubmed/31861515 http://dx.doi.org/10.3390/s20010027 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Hao
Xie, Shousheng
Zhou, Bin
Wang, Weixuan
Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title_full Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title_fullStr Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title_full_unstemmed Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title_short Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
title_sort non-fragile robust h∞ filtering of takagi-sugeno fuzzy networked control systems with sensor failures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982753/
https://www.ncbi.nlm.nih.gov/pubmed/31861515
http://dx.doi.org/10.3390/s20010027
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