Globally exponentially robust stability and periodicity of delayed neural networks

In this paper, a new concept of robust periodicity is introduced, and problem of robust stability and robust periodicity is discussed for delayed neural networks. Several sufficient conditions are derived for globally exponentially robust stability and robust periodicity of delayed neural networks based Lyapunov method. These results improve and extend those given in the earlier references.