4.6 Article

New results on anti-periodic solutions for SICNNs with oscillating coefficients in leakage terms

Journal

NEUROCOMPUTING
Volume 171, Issue -, Pages 503-509

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.06.070

Keywords

Shunting inhibitory cellular neural network; Anti-periodic solution; Exponential stability; Oscillating coefficient; Leakage term

Funding

  1. National Natural Science Foundation of China [11171098]

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This paper concerns with the anti-periodic solutions for a class of shunting inhibitory cellular neural networks model with oscillating coefficients in leakage terms. By applying contraction mapping fixed point theorem and differential inequality techniques, we establish some sufficient conditions for the existence and exponential stability of anti-periodic solutions for the model, which complement with some recent ones. Moreover, an example and its numerical simulation are given to support the theoretical results. (C) 2015 Elsevier B.V. All rights reserved.

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