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Neural Computing and Applications

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16.11.2016 | Original Article

New exponential passivity of BAM neural networks with time-varying delays

verfasst von: J. Thipcha, P. Niamsup

Erschienen in: Neural Computing and Applications | Ausgabe 12/2018

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Abstract

In this paper, the exponential passivity for bidirectional associative memory (BAM) neural networks with time-varying delays is considered. In our study, the lower and upper bounds of the activation functions are allowed to be either positive, negative or zero. By constructing new and improved Lyapunov–Krasovskii functional and introducing free-weighting matrices, a new and improved delay-dependent exponential passivity criterion for BAM neural networks with time-varying delays is derived in the form of linear matrix inequality (LMI). A numerical example is given to show that the derived condition is less conservative than some existing results given in the literature.

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Titel: New exponential passivity of BAM neural networks with time-varying delays
verfasst von: J. Thipcha
P. Niamsup
Publikationsdatum: 16.11.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 12/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2657-1

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