An analysis of stability of neutral-type neural systems with constant time delays

This paper investigates the stability problem of a class of neutral-type neural networks with constant time delays. By constructing a proper Lyapunov functional, a novel sufficient condition for the global stability of the equilibrium point for the class of neutral-type neural systems is presented. The obtained stability condition is expressed in terms of the system parameters of the network, and therefore, it can be easily verified. We also give a comparative numerical example to show the applicability of the result and demonstrate its advantages over the previously published corresponding stability results. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.