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

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. CO 2020 Elsevier B.V. All rights reserved.

Automated summary

This paper discusses the synchronization of coupled memristive competitive BAM neural networks with different time scales, and proposes novel sufficient conditions to achieve synchronization. The research results demonstrate the feasibility and ease of implementation of the proposed synchronization method.