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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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 417; pp. 106 - 113
Main Authors Mahto, Sharat Chandra, Ghosh, Sandip, Saket, R.K., Nagar, Shyam Krishna
Format Journal Article
LanguageEnglish
Published Elsevier B.V 05.12.2020
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