This paper deals with the problem to obtain inputoutput stability for a certain class of differential neural networks. Hence, by using a Lyapunov function, the conditions to guarantee finite-gain $L$-stability, which also ensures global exponential stability (GES), are established. Finally, the simulation of a numerical example illustrates the applicability of this approach.
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