Synchronization of memristive BAM neural networks with leakage delay and additive time-varying delay components via sampled-data control

Weiping Wang, Minghui Yu, Xiong Luo, Linlin Liu, Manman Yuan and Wenbing Zhao

Chaos, Solitons & Fractals, 2017, vol. 104, issue C, 84-97

Abstract: In this paper, the global asymptotic stability of memristive bidirectional associative memory neural networks with leakage delay and two additive time-varying delays is firstly studied. Then, we propose a novel sampled-data feedback controller to guarantee the synchronization of system based on drive/response concept. In particular, taking full advantage of the input delay approach, the Lyapunov function method and the Jensen’s inequality theory, several sufficient conditions are obtained. Finally, two numerical simulation examples show the effectiveness of the designed sampled-data control strategy. Furthermore, our results can be applied to simulate the associative memory function of brain-like robots, large-scale information storage, etc.

Keywords: Memristive BAM neural networks; Leakage time-varying delay; Additive time-varying delay; Sampled-data control (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:104:y:2017:i:c:p:84-97

DOI: 10.1016/j.chaos.2017.08.011

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