Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays

The global exponential stability is investigated for genetic regulatory networks with time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, new conditions of delay-dependent stability are obtained in the form of linear matrix inequality (LM...

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Main Authors: Lizi Yin, Yungang Liu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/897280
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author Lizi Yin
Yungang Liu
author_facet Lizi Yin
Yungang Liu
author_sort Lizi Yin
collection DOAJ
description The global exponential stability is investigated for genetic regulatory networks with time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, new conditions of delay-dependent stability are obtained in the form of linear matrix inequality (LMI). The lower bound of derivatives of time-varying delay is first taken into account in genetic networks stability analysis, and the main results with less conservatism are established by interactive convex combination method to estimate the upper bound of derivative function of the Lyapunov-Krasovskii functional. In addition, two numerical examples are provided to illustrate the effectiveness of the theoretical results.
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institution OA Journals
issn 1085-3375
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publishDate 2014-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-6398b0caeeed46bd9304751bcd1516172025-08-20T02:35:15ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/897280897280Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed DelaysLizi Yin0Yungang Liu1School of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaThe global exponential stability is investigated for genetic regulatory networks with time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, new conditions of delay-dependent stability are obtained in the form of linear matrix inequality (LMI). The lower bound of derivatives of time-varying delay is first taken into account in genetic networks stability analysis, and the main results with less conservatism are established by interactive convex combination method to estimate the upper bound of derivative function of the Lyapunov-Krasovskii functional. In addition, two numerical examples are provided to illustrate the effectiveness of the theoretical results.http://dx.doi.org/10.1155/2014/897280
spellingShingle Lizi Yin
Yungang Liu
Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
Abstract and Applied Analysis
title Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
title_full Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
title_fullStr Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
title_full_unstemmed Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
title_short Exponential Stability Analysis for Genetic Regulatory Networks with Both Time-Varying and Continuous Distributed Delays
title_sort exponential stability analysis for genetic regulatory networks with both time varying and continuous distributed delays
url http://dx.doi.org/10.1155/2014/897280
work_keys_str_mv AT liziyin exponentialstabilityanalysisforgeneticregulatorynetworkswithbothtimevaryingandcontinuousdistributeddelays
AT yungangliu exponentialstabilityanalysisforgeneticregulatorynetworkswithbothtimevaryingandcontinuousdistributeddelays