Abstract
In this paper, the finite-time stability for a class of shunting inhibitory cellular neural networks with neutral proportional delays is discussed. By employing differential inequality techniques, several sufficient conditions are obtained to ensure the finite-time stability for the considered neural networks. Meanwhile, the generalized exponential synchronization is also established. An example along with its numerical simulation is presented to demonstrate the validity of the proposed results.
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The author thanks for the anonymous referees valuable opinions. The suggestions improve this paper and motivate some further works.
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This work was supported by the Natural Scientific Research Fund of Hunan Provincial of China (Grant Nos. 2016JJ6103, 2016JJ6104), and the Construction Program of the Key Discipline in Hunan University of Arts and Science−Applied Mathematics.
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Yu, Y. Finite-time stability on a class of SICNNs with neutral proportional delays. Neural Comput & Applic 28 (Suppl 1), 97–105 (2017). https://doi.org/10.1007/s00521-016-2295-7
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DOI: https://doi.org/10.1007/s00521-016-2295-7