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Exponential Convergence for HCNNs with Oscillating Coefficients in Leakage Terms

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Abstract

The paper is concerned with the exponential convergence for a class of high-order cellular neural networks with oscillating coefficients in leakage terms. By employing the differential inequality techniques, we establish a novel result to ensure that all solutions of the addressed system converge exponentially to zero vector. Our approach handles particular cases which were not considered in some early relevant results. An example along with its numerical simulation is presented to demonstrate the validity of the proposed result.

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Acknowledgments

The author would like to express the sincere appreciation to the reviewers for their helpful comments in improving the presentation and quality of the paper.

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Correspondence to Ani Jiang.

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Jiang, A. Exponential Convergence for HCNNs with Oscillating Coefficients in Leakage Terms. Neural Process Lett 43, 285–294 (2016). https://doi.org/10.1007/s11063-015-9418-5

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  • DOI: https://doi.org/10.1007/s11063-015-9418-5

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