Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the...

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Veröffentlicht in:Advances in difference equations 2016-07, Vol.2016 (1), p.1-12, Article 190
Hauptverfasser: Li, Xiaofei, Ding, Deng, Feng, Jianzhong, Hu, Songbo
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Sprache:eng
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Zusammenfassung:In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the existence and exponential stability of anti-periodic solutions of the neural networks with multiple delays. Our findings are new and complement some previously known studies.
ISSN:1687-1847
1687-1839
1687-1847
DOI:10.1186/s13662-016-0882-7