Exponential Lag Synchronization of Cohen–Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales
نویسندگان
چکیده
Abstract In this article, we investigate exponential lag synchronization results for the Cohen–Grossberg neural networks with discrete and distributed delays on an arbitrary time domain by applying feedback control. We formulate problem using scales theory so that can be applied to any uniform or non-uniform domains. Also, provide a comparison of shows obtained are unified generalize existing results. Mainly, use matrix-measure Halanay inequality establish these last section, two simulated examples different domains show effectiveness generality analytical
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ژورنال
عنوان ژورنال: Neural Processing Letters
سال: 2023
ISSN: ['1573-773X', '1370-4621']
DOI: https://doi.org/10.1007/s11063-023-11231-2