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: Weera,W., Niamsup,P.
格式: Conference or Workshop Item
出版: 2015
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在線閱讀: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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機構: Chiang Mai University
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總結: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.