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- W2143348717 abstract "This paper demonstrates that there is a discrete-time analogue which does not require any restriction on the size of the time-step in order to preserve the exponential stability of an artificial neural network with distributed delays. The analysis exploits an appropriate Lyapunov sequence and a discrete-time system of Halanay inequalities, and also either a Young inequality or a geometric-arithmetic mean inequality, to derive several sufficient conditions on the network parameters for the exponential stability of the analogue. The sufficiency conditions are independent of the time-step, and they correspond to those that establish the exponential stability of the continuous-time network." @default.
- W2143348717 created "2016-06-24" @default.
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- W2143348717 date "2008-05-01" @default.
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- W2143348717 title "Exponential stability preservation in discrete-time analogues of artificial neural networks with distributed delays" @default.
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- W2143348717 doi "https://doi.org/10.1016/j.cam.2007.04.009" @default.
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