Stability analysis of stochastic BAM neural networks with reaction–diffusion, multi-proportional and distributed delays

Tianyu Wang and Quanxin Zhu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 533, issue C

Abstract: This paper is devoted to investigating of the stability for stochastic reaction–diffusion BAM neural networks with mixed delays. By applying some new analysis methods, several novel exponential stability criteria are obtained. Our results extend some existing results on stochastic BAM neural networks including with/without reaction–diffusion, time-varying (TV) and multi-proportional delays. In particular, we consider the effect of TV, distributed and multi-proportional delays. An example is provided to show the effectiveness of the obtained results.

Keywords: BAM neural network; Multi-proportional delay; Distributed delay; Lyapunov–Krasovskii functional; Reaction–diffusion (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:533:y:2019:i:c:s0378437119311331

DOI: 10.1016/j.physa.2019.121935

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