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Further results on robust stability for uncertain neutral systems with distributed delay

This paper studies the problem of robust stability for uncertain neutral systems with distributed delay. By utilizing the incorporation of a new integral inequality technique and a novel Lyapunov–Krasovskii functional, some reduced conservative delay-dependent stability conditions for asymptotic sta...

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Detalles Bibliográficos
Autores principales: Wu, Tao, Xiong, Lianglin, Cao, Jinde, Liu, Xinzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244747/
https://www.ncbi.nlm.nih.gov/pubmed/30839780
http://dx.doi.org/10.1186/s13660-018-1911-8
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author Wu, Tao
Xiong, Lianglin
Cao, Jinde
Liu, Xinzhi
author_facet Wu, Tao
Xiong, Lianglin
Cao, Jinde
Liu, Xinzhi
author_sort Wu, Tao
collection PubMed
description This paper studies the problem of robust stability for uncertain neutral systems with distributed delay. By utilizing the incorporation of a new integral inequality technique and a novel Lyapunov–Krasovskii functional, some reduced conservative delay-dependent stability conditions for asymptotic stability are established. Then some special cases of neutral systems are discussed. Based on these delay-dependent stability conditions, the condition for robustness is obtained for uncertain linear delayed systems. All these stability conditions are given in terms of linear matrix inequalities (LMIs), which can easily be computed by the LMI toolbox of Matlab. Finally, several examples are discussed in detail to display the usefulness and superiority of the obtained results.
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spelling pubmed-62447472018-12-04 Further results on robust stability for uncertain neutral systems with distributed delay Wu, Tao Xiong, Lianglin Cao, Jinde Liu, Xinzhi J Inequal Appl Research This paper studies the problem of robust stability for uncertain neutral systems with distributed delay. By utilizing the incorporation of a new integral inequality technique and a novel Lyapunov–Krasovskii functional, some reduced conservative delay-dependent stability conditions for asymptotic stability are established. Then some special cases of neutral systems are discussed. Based on these delay-dependent stability conditions, the condition for robustness is obtained for uncertain linear delayed systems. All these stability conditions are given in terms of linear matrix inequalities (LMIs), which can easily be computed by the LMI toolbox of Matlab. Finally, several examples are discussed in detail to display the usefulness and superiority of the obtained results. Springer International Publishing 2018-11-16 2018 /pmc/articles/PMC6244747/ /pubmed/30839780 http://dx.doi.org/10.1186/s13660-018-1911-8 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Wu, Tao
Xiong, Lianglin
Cao, Jinde
Liu, Xinzhi
Further results on robust stability for uncertain neutral systems with distributed delay
title Further results on robust stability for uncertain neutral systems with distributed delay
title_full Further results on robust stability for uncertain neutral systems with distributed delay
title_fullStr Further results on robust stability for uncertain neutral systems with distributed delay
title_full_unstemmed Further results on robust stability for uncertain neutral systems with distributed delay
title_short Further results on robust stability for uncertain neutral systems with distributed delay
title_sort further results on robust stability for uncertain neutral systems with distributed delay
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244747/
https://www.ncbi.nlm.nih.gov/pubmed/30839780
http://dx.doi.org/10.1186/s13660-018-1911-8
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