Mean square exponential stability of stochastic delay cellular neural networks

Abstract

By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the exponential stability of stochastic cellular neural networks with discrete delays. The condition contains and improves some of the previous results in the earlier references. These sufficient conditions only including those governing parameters of SDCNNs can be easily checked by simple algebraic methods. Finally, one example is given to demonstrate that the proposed criteria are useful and effective.