Startseite Global exponential stability analysis of anti-periodic solutions of discontinuous bidirectional associative memory (BAM) neural networks with time-varying delays
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Global exponential stability analysis of anti-periodic solutions of discontinuous bidirectional associative memory (BAM) neural networks with time-varying delays

  • Xiangying Fu und Fanchao Kong EMAIL logo
Veröffentlicht/Copyright: 10. August 2020
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Abstract

This paper is concerned with a class of bidirectional associative memory (BAM) neural networks with discontinuous activations and time-varying delays. Under the basic framework of differential inclusions theory, the existence result of solutions in sense of Filippov solution is firstly established by using the fundamental solution matrix of coefficients and inequality analysis technique. Also, the boundness of the solutions can be estimated. Secondly, based on the non-smooth Lyapunov-like approach and by construsting suitable Lyapunov–Krasovskii functionals, some new sufficient criteria are given to ascertain the globally exponential stability of the anti-periodic solutions for the proposed neural network system. Furthermore, we have collated our effort with some previous existing ones in the literatures and showed that it can take more advantages. Finally, two examples with numerical simulations are exploited to illustrate the correctness.


Corresponding author: Fanchao Kong, School of Mathematics and Statistics, Anhui Normal University, Wuhu, Anhui, 241000, PR China, E-mail:

Funding source: Anhui Normal University

Award Identifier / Grant number: 751965, China

Acknowledgments

The authors thank the anonymous reviewers for their insightful suggestions which improved this work significantly. The author expresses the sincere gratitude to Prof. Quanxin Zhu (Hunan Normal University) for the helpful discussion when this work was being carried out. This work is supported by Anhui Provincial Natural Science Foundation (No.2008085QA14) and Talent Foundation of Anhui Normal University (No.751965).

  1. Authors’ contributions: All authors read and approved the manuscript.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-09-06
Accepted: 2020-04-08
Published Online: 2020-08-10
Published in Print: 2020-11-18

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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