Finite-Time Stability Analysis of Switched Genetic Regulatory Networks

This paper investigates the finite-time stability problem of switching genetic regulatory networks (GRNs) with interval time-varying delays and unbounded continuous distributed delays. Based on the piecewise Lyapunov-Krasovskii functional and the average dwell time method, some new finite-time stabi...

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Published in:Journal of Applied Mathematics
Main Author: Lizi Yin
Format: Article
Language:English
Published: Wiley 2014-01-01
Online Access:http://dx.doi.org/10.1155/2014/730292
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author Lizi Yin
author_facet Lizi Yin
author_sort Lizi Yin
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container_title Journal of Applied Mathematics
description This paper investigates the finite-time stability problem of switching genetic regulatory networks (GRNs) with interval time-varying delays and unbounded continuous distributed delays. Based on the piecewise Lyapunov-Krasovskii functional and the average dwell time method, some new finite-time stability criteria are obtained in the form of linear matrix inequalities (LMIs), which are easy to be confirmed by the Matlab toolbox. The finite-time stability is taken into account in switching genetic regulatory networks for the first time and the average dwell time of the switching signal is obtained. Two numerical examples are presented to illustrate the effectiveness of our results.
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spelling doaj-art-afffd01ee2334656b8689d76b687e2db2025-08-20T01:12:59ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/730292730292Finite-Time Stability Analysis of Switched Genetic Regulatory NetworksLizi Yin0School of Control Science and Engineering, Shandong University, Jinan 250061, ChinaThis paper investigates the finite-time stability problem of switching genetic regulatory networks (GRNs) with interval time-varying delays and unbounded continuous distributed delays. Based on the piecewise Lyapunov-Krasovskii functional and the average dwell time method, some new finite-time stability criteria are obtained in the form of linear matrix inequalities (LMIs), which are easy to be confirmed by the Matlab toolbox. The finite-time stability is taken into account in switching genetic regulatory networks for the first time and the average dwell time of the switching signal is obtained. Two numerical examples are presented to illustrate the effectiveness of our results.http://dx.doi.org/10.1155/2014/730292
spellingShingle Lizi Yin
Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title_full Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title_fullStr Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title_full_unstemmed Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title_short Finite-Time Stability Analysis of Switched Genetic Regulatory Networks
title_sort finite time stability analysis of switched genetic regulatory networks
url http://dx.doi.org/10.1155/2014/730292
work_keys_str_mv AT liziyin finitetimestabilityanalysisofswitchedgeneticregulatorynetworks