Global exponential stability of periodic solutions for impulsive Cohen–Grossberg neural networks with delays

By constructing appropriate Lyapunov functions and using some inequality techniques and a fixed point theorem, some sufficient conditions are obtained to ensure the existence and global exponential stability of periodic solutions for impulsive Cohen–Grossberg neural networks with delays. The boundedness of the activation functions is not assumed. The criteria given can be easily verified and possess many adjustable parameters, which provide flexibility for the design and analysis of the system. Several previous results are improved and two examples are given to demonstrate the effectiveness of the theoretical results.