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 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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Abstract 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 constructed. Based on these LKFs, two delay-dependent stability criterion are obtained in the form of linear matrix inequalities. The effectiveness of the proposed criterion for delayed neural network is demonstrated by considering two examples.
AbstractList 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 constructed. Based on these LKFs, two delay-dependent stability criterion are obtained in the form of linear matrix inequalities. The effectiveness of the proposed criterion for delayed neural network is demonstrated by considering two examples.
Author Mahto, Sharat Chandra
Saket, R.K.
Ghosh, Sandip
Nagar, Shyam Krishna
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Keywords Linear matrix inequality
Delay-product functionals
Stability analysis
Time varying delay
Delayed neural network
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Snippet This paper concerns with stability analysis of neural networks with time varying delay. Two new delay-product type functionals (DPFs) are developed by...
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StartPage 106
SubjectTerms Delay-product functionals
Delayed neural network
Linear matrix inequality
Stability analysis
Time varying delay
Title Stability analysis of delayed neural network using new delay-product based functionals
URI https://dx.doi.org/10.1016/j.neucom.2020.07.021
Volume 417
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