New methods of finite-time synchronization for a class of fractional-order delayed neural networks (Q1992411)

Summary: Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order \(\alpha, 0 < \alpha \leq 1 / 2\) and \(1 / 2 < \alpha < 1\), is investigated in this paper. Through the use of Hölder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.