Robust stochastic stability analysis of genetic regulatory networks with disturbance attenuation
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 39-49 |
Journal / Publication | Neurocomputing |
Volume | 79 |
Publication status | Published - 1 Mar 2012 |
Link(s)
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. © 2011 Elsevier B.V.
Research Area(s)
- Disturbance attenuation, Extrinsic noises, Genetic regulatory networks, Robust stochastic stability
Citation Format(s)
Robust stochastic stability analysis of genetic regulatory networks with disturbance attenuation. / Sun, Yonghui; Feng, Gang; Cao, Jinde.
In: Neurocomputing, Vol. 79, 01.03.2012, p. 39-49.
In: Neurocomputing, Vol. 79, 01.03.2012, p. 39-49.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review