Stability analysis of delayed neural network using new delay-product based functionals
This paper concerns with stability analysis of neural networks with time varying delay. Two new delay-product type functionals (DPFs) are developed by introducing new states in the augmented vector of delay-product term. Then using these DPFs, two new Lyapunov-Krasovskii functionals (LKFs) are const...
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Published in | Neurocomputing (Amsterdam) Vol. 417; pp. 106 - 113 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
05.12.2020
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Subjects | |
Online Access | Get full text |
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