Delay-Independent Stability of Riemann-Liouville Fractional Neutral-Type Delayed Neural Networks

This paper is concerned with the delay-independent stability of Riemann-Liouville fractional-order neutral-type delayed neural networks. By constructing a suitable Lyapunov functional associated with fractional integral and fractional derivative terms, several sufficient conditions to ensure delay-independent asymptotic stability of the equilibrium point are obtained. The presented results are easily checked as they are described as the matrix inequalities or algebraic inequalities in terms of the networks parameters only. Two numerical examples are also given to show the validity and feasibility of the theoretical results.