Adaptive synchronization of memristor-based BAM neural networks with mixed delays

Chuan Chen, Lixiang Li, Haipeng Peng and Yixian Yang

Applied Mathematics and Computation, 2018, vol. 322, issue C, 100-110

Abstract: This paper investigates the adaptive synchronization of memristor-based BAM neural networks (MBAMNNs) with discrete delay and distributed delay (mixed delays). We design two kinds of adaptive feedback controllers, under which the considered MBAMNNs can achieve asymptotic synchronization and exponential synchronization respectively. The adaptive feedback controllers can be utilized even when there is no perfect knowledge of the system parameters. Furthermore, computing algebraic conditions and solving linear matrix inequalities are not needed to determine suitable control gains. Numerical simulations illustrate the effectiveness of the theoretical results.

Keywords: Memristor; BAM neural networks; Mixed delays; Synchronization; Adaptive feedback controllers (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:322:y:2018:i:c:p:100-110

DOI: 10.1016/j.amc.2017.11.037

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