Robust Stochastic Stability of Hybrid Genetic Networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 8th World Congress on Intelligent Control and Automation (WCICA)
PublisherIEEE
Pages232-236
ISBN (electronic)978-1-4244-6712-9
Publication statusPublished - Jul 2010

Conference

Title2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
PlaceChina
CityJinan
Period7 - 9 July 2010

Abstract

In this paper, a stochastic hybrid genetic networks model is proposed. By taking into account the structure variations at discrete time instances during the process of gene, regulation, its robust stochastic stability with intrinsic and extrinsic, noises is then addressed from stochastic system point of view, The sufficient. stability condition for the hybrid genetic network, could be easily facilitated by Matlab LMI toolbox. Finally, a numerical example with simulations is provided to illustrate the effectiveness of the developed results.

Research Area(s)

  • Extrinsic noises, Hybrid genetic networks, Intrinsic noises, Robust stochastic stability

Citation Format(s)

Robust Stochastic Stability of Hybrid Genetic Networks. / Sun, Yonghui; Feng, Gang; Wu, Aiguo.
Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2010. p. 232-236.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review