Chengyan Liu

Xiaodi Li

Xilin Fu

Advances in Artificial Neural Systems

This paper deals with the stability problem for a class of impulsive neural networks. Some sufficient conditions which can guarantee the globally exponential stability of the addressed models with given convergence rate are derived by using Lyapunov function and impulsive analysis techniques. Finally, an example is given to show the effectiveness of the obtained results.</jats:p

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Globally Exponential Stability of Impulsive Neural Networks with Given Convergence Rate

http://downloads.hindawi.com/archive/2013/908602.pdf

Globally Exponential Stability of Impulsive Neural Networks with Given Convergence Rate

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