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

20.500.12592/srb516

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

1 Apr 2021

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.
nonlinear dynamics rd4 - complexity science complex networks

Authors

Zhao, Yong, Ren, Shanshan, Kurths, Jürgen

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