Adaptive anti-synchronization of memristor-based complex-valued neural networks with time delays

Wei Xu, Song Zhu, Xiaoyu Fang and Wei Wang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 535, issue C

Abstract: This paper mainly deals with the adaptive anti-synchronization problem of memristor-based complex-valued neural networks with time delays. By using the concept of adaptive control technology, a specific feedback controller is designed to achieve anti-synchronization. Compared to the anti-synchronization of complex-valued memristor-based delays neural networks, we use adaptive controller in the article. The adaptive controller can adjust system itself according to different updating laws. The obtained result is more reliable and improve some of the existing achievements. Finally, a numerical example is given to illustrate the effectiveness of the theoretical result.

Keywords: Adaptive anti-synchronization; Memristor; Complex-valued neural networks; Time delays (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119313974

DOI: 10.1016/j.physa.2019.122427

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