Asymptotical Stability of Riemann-Liouville Fractional-Order Neutral-Type Delayed Projective Neural Networks

摘要

In this paper, a new class of Riemann-Liouville fractional-order neutral-type delayed projective neural networks are introduced and studied. By utilizing the linear matrix inequality technique, some sufficient conditions to ensure the asymptotical stability of the equilibrium point of the addressed projective neural networks are presented. Finally, some numerical examples are given to illustrate the validity and feasibility of the main results.