Global Exponential Stability of Impulsive Cellular Neural Network with Delay

Sufficient conditions are obtained for the existence and global exponential stability of a unique equilibrium of a class of cellular neural network with Lipschitzian activation functions without assuming their boundedness, monotonicity or differentiability and subjected to impulsive state displacements at fixed instants of time. An illustrative example is given to demonstrate the effectiveness of the obtained results.