Further analysis of stability of uncertain neural networks with multiple time delays
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Link
http://link.springer.com/content/pdf/10.1186/1687-1847-2014-41.pdf
Reference44 articles.
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2. Shen Y, Wang J: Robustness analysis of global exponential stability of recurrent neural networks in the presence of time delays and random disturbances. IEEE Trans. Neural Netw. Learn. Syst. 2012, 23: 87-96.
3. Huang TW, Li CD, Duan SK, Starzyk A: Robust exponential stability of uncertain delayed neural networks with stochastic perturbation and impulse effects. IEEE Trans. Neural Netw. Learn. Syst. 2012, 23: 866-875.
4. Sakthivel R, Raja R, Anthoni SM: Exponential stability for delayed stochastic bidirectional associative memory neural networks with Markovian jumping and impulses. J. Optim. Theory Appl. 2011, 150: 166-187. 10.1007/s10957-011-9808-4
5. Shen H, Huang X, Zhou J, Wang Z: Global exponential estimates for uncertain Markovian jump neural networks with reaction-diffusion terms. Nonlinear Dyn. 2012, 69: 473-486. 10.1007/s11071-011-0278-x
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