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Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method

This paper presents improved stability results by introducing a new delay partitioning method based on the theory of geometric progression to deal with T–S fuzzy systems in the appearance of interval time-varying delays and nonlinear perturbations. A common ratio [Formula: see text] is applied to sp...

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Detalles Bibliográficos
Autor principal: Chen, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932025/
https://www.ncbi.nlm.nih.gov/pubmed/27429885
http://dx.doi.org/10.1186/s40064-016-2632-4
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author Chen, Hao
author_facet Chen, Hao
author_sort Chen, Hao
collection PubMed
description This paper presents improved stability results by introducing a new delay partitioning method based on the theory of geometric progression to deal with T–S fuzzy systems in the appearance of interval time-varying delays and nonlinear perturbations. A common ratio [Formula: see text] is applied to split the delay interval into multiple unequal subintervals. A modified Lyapunov–Krasovskii functional (LKF) is constructed with triple-integral terms and augmented factors including the length of every subintervals. In addition, the recently developed free-matrix-based integral inequality is employed to combine with the extended reciprocal convex combination and free weight matrices techniques for avoiding the overabundance of the enlargement when deducing the derivative of the LKF. Eventually, this developed research work can efficiently obtain the maximum upper bound of the time-varying delay with much less conservatism. Numerical results are conducted to illustrate the remarkable improvements of this proposed method.
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spelling pubmed-49320252016-07-16 Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method Chen, Hao Springerplus Research This paper presents improved stability results by introducing a new delay partitioning method based on the theory of geometric progression to deal with T–S fuzzy systems in the appearance of interval time-varying delays and nonlinear perturbations. A common ratio [Formula: see text] is applied to split the delay interval into multiple unequal subintervals. A modified Lyapunov–Krasovskii functional (LKF) is constructed with triple-integral terms and augmented factors including the length of every subintervals. In addition, the recently developed free-matrix-based integral inequality is employed to combine with the extended reciprocal convex combination and free weight matrices techniques for avoiding the overabundance of the enlargement when deducing the derivative of the LKF. Eventually, this developed research work can efficiently obtain the maximum upper bound of the time-varying delay with much less conservatism. Numerical results are conducted to illustrate the remarkable improvements of this proposed method. Springer International Publishing 2016-07-04 /pmc/articles/PMC4932025/ /pubmed/27429885 http://dx.doi.org/10.1186/s40064-016-2632-4 Text en © The Author(s) 2016 Open AccessThis 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
Chen, Hao
Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title_full Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title_fullStr Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title_full_unstemmed Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title_short Improved results on nonlinear perturbed T–S fuzzy systems with interval time-varying delays using a geometric sequence division method
title_sort improved results on nonlinear perturbed t–s fuzzy systems with interval time-varying delays using a geometric sequence division method
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932025/
https://www.ncbi.nlm.nih.gov/pubmed/27429885
http://dx.doi.org/10.1186/s40064-016-2632-4
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