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Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays
Journal article   Peer reviewed

Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays

Chaouki Aouiti, El abed Assali, Jinde Cao and Ahmed Alsaedi
International journal of systems science, Vol.49(10), pp.2202-2214
27/07/2018

Abstract

exponential convergence leakage delay Neutral-type competitive neural networks proportional delay
This paper is concerned with a class of neutral-type competitive neural networks with multi-proportional delays, distributed delays and leakage delays. By employing the differential inequality theory, some sufficient conditions are given to ensure that all solutions of the addressed system converge exponentially to zero vector. An illustrative example is also given at the end of this paper to show the effectiveness of our results.

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