Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58495
Title: New exponential passivity of BAM neural networks with time-varying delays
Authors: J. Thipcha
P. Niamsup
Keywords: Computer Science
Issue Date: 1-Jun-2018
Abstract: © 2016, The Natural Computing Applications Forum. 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84996606704&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58495
ISSN: 09410643
Appears in Collections:CMUL: Journal Articles

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