New criteria of stability analysis for generalized neural networks subject to time-varying delayed signals
This paper focuses on the new criteria of stability analysis for generalized neural networks (GNNs) subject to time-varying delayed signals. A new methodology is employed with the aids of slack variables. By constructing an augmented Lyapunov–Krasovskii functional (LKF) involving Newton–Leibniz enum...
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Published in | Applied mathematics and computation Vol. 314; pp. 322 - 333 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.12.2017
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Subjects | |
Online Access | Get full text |
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