Robust stochastic stability analysis of genetic regulatory networks with disturbance attenuation

Authors:
Yonghui Sun;Gang Feng;Jinde Cao
Affiliations:
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China and Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kon ...;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China;Department of Mathematics, Southeast University, Nanjing 210096, China
Venue:
Neurocomputing
Year:
2012

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Abstract

This paper studies the robust stochastic stability of uncertain stochastic genetic regulatory networks with disturbance attenuation. A novel delay-dependent robust stability condition with disturbance attenuation, in the form of linear matrix inequalities (LMIs) is derived for the uncertain stochastic genetic networks with time-varying delays and intrinsic and extrinsic noises. These stability conditions can be tested efficiently by the available commercial software packages such as Matlab LMI Control Toolbox. Two numerical examples with simulations are given to illustrate the effectiveness and validity of the derived theoretical results.