New exponential passivity of BAM neural networks with time-varying delays
© 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, negati...
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th-cmuir.6653943832-584952018-09-05T04:25:35Z New exponential passivity of BAM neural networks with time-varying delays J. Thipcha P. Niamsup Computer Science © 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. 2018-09-05T04:25:35Z 2018-09-05T04:25:35Z 2018-06-01 Journal 09410643 2-s2.0-84996606704 10.1007/s00521-016-2657-1 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84996606704&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58495 |
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Computer Science J. Thipcha P. Niamsup New exponential passivity of BAM neural networks with time-varying delays |
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© 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. |
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Journal |
| author |
J. Thipcha P. Niamsup |
| author_facet |
J. Thipcha P. Niamsup |
| author_sort |
J. Thipcha |
| title |
New exponential passivity of BAM neural networks with time-varying delays |
| title_short |
New exponential passivity of BAM neural networks with time-varying delays |
| title_full |
New exponential passivity of BAM neural networks with time-varying delays |
| title_fullStr |
New exponential passivity of BAM neural networks with time-varying delays |
| title_full_unstemmed |
New exponential passivity of BAM neural networks with time-varying delays |
| title_sort |
new exponential passivity of bam neural networks with time-varying delays |
| publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84996606704&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58495 |
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