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Improved convergence criteria for HCNNs with delays and oscillating coefficients in leakage terms

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Abstract

This paper considers the convergence problem of high-order cellular neural networks with delays and oscillating coefficients in leakage terms. Based on a new integral inequality technique, some sufficient conditions are derived to ensure that all solutions of the addressed system converge exponentially to zero vector. Also, two examples and their numerical simulations are given to illustrate the main results.

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Acknowledgments

The author would like to express the sincere appreciation to the editor and reviewers for their helpful comments in improving the presentation and quality of the paper. In particular, the author expresses the sincere gratitude to Profs. Bingwen Liu and Weizhi Liao for the helpful discussion when this revision work was being carried out.

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Authors and Affiliations

  1. College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, 314001, Zhejiang, People’s Republic of China

    Xiaojing Liu

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  1. Xiaojing Liu
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Correspondence to Xiaojing Liu.

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Liu, X. Improved convergence criteria for HCNNs with delays and oscillating coefficients in leakage terms. Neural Comput & Applic 27, 917–925 (2016). https://doi.org/10.1007/s00521-015-1906-z

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  • DOI: https://doi.org/10.1007/s00521-015-1906-z

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