Stability Analysis of Complex-Valued Neural Networks with Generalized Piecewise Constant Argument

This paper is committed to investigating the stability of a type of complex-valued neural networks with generalized piecewise constant argument. The deviating argument in the network is not only advanced but also retarded. In this paper, we select an appropriate Lyapunov function and use inequality techniques, the existence and uniqueness of solution for the system are studied. Then, the global exponential stability of the system is analyzed in detail. Finally, some numerical simulations are worked out to demonstrate the effectiveness of the theoretical analysis and results.