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Journal Article

Synchronization of coupled memristive competitive BAM neural networks with different time scales

Authors

Zhao,  Yong
External Organizations;

Ren,  Shanshan
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Zhao, Y., Ren, S., Kurths, J. (2021): Synchronization of coupled memristive competitive BAM neural networks with different time scales. - Neurocomputing, 427, 110-117.
https://doi.org/10.1016/j.neucom.2020.11.023


Cite as: https://publications.pik-potsdam.de/pubman/item/item_25469
Abstract
In this paper, synchronization of coupled memristive competitive bidirectional associative memory (BAM) neural networks with different time scales is discussed. Two kinds of feedback controllers are designed such that the response system and the drive system can reach synchronization. By using the differential inclusions theory, and constructing a proper Lyapunov–Krasovskii functional, novel sufficient conditions are obtained to achieve asymptotical synchronization of competitive BAM neural networks. The proposed synchronization can be easily realized. An illustrative example is given to show the feasibility of our theoretical results.