Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed timevarying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872334160&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38670 |
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| Institution: | Chiang Mai University |
| Summary: | In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed timevarying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing a set of improved Lyapunov-Krasovskii functional combined with Leibniz-Newton's formula, the proposed stability criteria are formulated in the form of a linear matrix inequalities. Numerical example illustrates the effectiveness of the results. © 2012 IEEE. |
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