A Robust Control of Fractional Discrete Neural Networks

This paper aims to present a general approach to control fractional discrete neural networks. We prove a new theorem, which ensures the stabilization of some fractional discrete neural networks class’s utilzing the Lyapunov approach. A numerical example and simulation results are reported to confirm the stabilization approach efficiency.