Exponential Stability of Solution for Delayed Cellular Neural Networks with Impulses

AbstractBy using M-matrix theory, some inequality analysis technology and mathematical induction, some sufficient conditions are derived ensuring existence and global exponential stability of the equilibrium points of delayed cellular neural networks (DCNNS) with impulses. Without assuming the boundedness of signal functions, the results obtained have sufficient significance in design. Finally, an example with numerical simulation is given to show the effectiveness of the proposed method and results