论文信息 - Stability analysis of stochastic delayed cellular neural networks by LMI approach - 字舞流文

Stability analysis of stochastic delayed cellular neural networks by LMI approach

Some sufficient mean square exponential stability conditions for a class of stochastic DCNN model are obtained via the LMI approach. These conditions improve and generalize some existing global asymptotic stability conditions for DCNN model.

Wenli Zhu | Jin Hu | Wenli Zhu | Jin Hu

[1] Leon O. Chua,et al. Cellular neural networks with non-linear and delay-type template elements and non-uniform grids , 1992, Int. J. Circuit Theory Appl..

[2] V. Singh,et al. Global asymptotic stability of cellular neural networks with unequal delays: LMI approach , 2004 .

[3] Vimal Singh,et al. A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks , 2004, IEEE Transactions on Neural Networks.

[4] Kwong-Sak Leung,et al. Convergence analysis of cellular neural networks with unbounded delay , 2001 .

[5] H Lu,et al. Unconditioned Stability of Cellular Neural Networks with Delay. , 1997 .

[6] Lin-Bao Yang,et al. Cellular neural networks: theory , 1988 .