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Existence of an equilibrium for delayed neural fields under output proportional feedback

Published 28 Feb 2022 in math.OC | (2202.13760v3)

Abstract: Recently, [2] proved that the closed-loop system resulting from the output proportional feedback stabilization of a class of delayed neural fields is input-to-state stable (ISS) for sufficiently high gain, subject to the existence of an equilibrium point for the closed-loop system. In the present paper, we show that a sufficient condition for such an equilibrium to exist is that the activation functions are bounded.

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