An improved input delay approach to stabilization of fuzzy systems under variable sampling

An improved input delay approach to stabilization of fuzzy systems under variable sampling

In this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropr...

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Main Authors: Zhu, Xun-Lin, Chen, Bing, Yue, Dong, Wang, Youyi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/102732
http://hdl.handle.net/10220/18268
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1027322020-03-07T14:00:35Z An improved input delay approach to stabilization of fuzzy systems under variable sampling Zhu, Xun-Lin Chen, Bing Yue, Dong Wang, Youyi School of Electrical and Electronic Engineering In this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropriate enlargement scheme, new stability and stabilization criteria are obtained in terms of linear matrix inequalities (LMIs). Compared with the existing results, the newly obtained ones contain less conservatism. Some illustrative examples are given to show the effectiveness of the proposed method and the significant improvement on the existing results. 2013-12-16T07:42:32Z 2019-12-06T20:59:40Z 2013-12-16T07:42:32Z 2019-12-06T20:59:40Z 2012 2012 Journal Article https://hdl.handle.net/10356/102732 http://hdl.handle.net/10220/18268 10.1109/TFUZZ.2011.2174242 en IEEE transactions on fuzzy systems
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropriate enlargement scheme, new stability and stabilization criteria are obtained in terms of linear matrix inequalities (LMIs). Compared with the existing results, the newly obtained ones contain less conservatism. Some illustrative examples are given to show the effectiveness of the proposed method and the significant improvement on the existing results.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhu, Xun-Lin
Chen, Bing
Yue, Dong
Wang, Youyi
format Article
author Zhu, Xun-Lin
Chen, Bing
Yue, Dong
Wang, Youyi
spellingShingle Zhu, Xun-Lin
Chen, Bing
Yue, Dong
Wang, Youyi
An improved input delay approach to stabilization of fuzzy systems under variable sampling
author_sort Zhu, Xun-Lin
title An improved input delay approach to stabilization of fuzzy systems under variable sampling
title_short An improved input delay approach to stabilization of fuzzy systems under variable sampling
title_full An improved input delay approach to stabilization of fuzzy systems under variable sampling
title_fullStr An improved input delay approach to stabilization of fuzzy systems under variable sampling
title_full_unstemmed An improved input delay approach to stabilization of fuzzy systems under variable sampling
title_sort improved input delay approach to stabilization of fuzzy systems under variable sampling
publishDate 2013
url https://hdl.handle.net/10356/102732
http://hdl.handle.net/10220/18268
_version_ 1681048860954198016

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