| Literature DB >> 21359037 |
Yanyan Wang, Jinde Cao, Lulu Li.
Abstract
In this paper, by using the Lyapunov method, Itô's differential formula and linear matrix inequality (LMI) approach, the global robust power-rate stability in mean square is discussed for genetic regulatory networks with unbounded time-varying delay, noise perturbations and parameter uncertainties. Sufficient conditions are given to ensure the robust power-rate stability (in mean square) of the genetic regulatory networks. Meanwhile, the criteria ensuring global power-rate stability in mean square are a byproduct of the criteria guaranteeing global robust power-rate stability in mean square. The obtained conditions are derived in terms of linear matrix inequalities (LMIs) which are easy to be verified via the LMI toolbox. An illustrative example is given to show the effectiveness of the obtained result.Keywords: Genetic regulatory networks; Global power-rate stability in mean square; Global robust power-rate stability in mean square; Linear matrix inequality (LMI); Stochastic perturbation; Unbounded time-varying delay
Year: 2010 PMID: 21359037 PMCID: PMC2837527 DOI: 10.1007/s11571-009-9102-4
Source DB: PubMed Journal: Cogn Neurodyn ISSN: 1871-4080 Impact factor: 5.082