Journal of Applied Mathematics

Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed Time Delays

Haiyong Zheng, Bin Wu, Tengda Wei, Linshan Wang, and Yangfan Wang

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Abstract

By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high-order neural networks with S-type distributed time delays are established, which are easy to be verified with a wider adaptive scope.

Article information

Source
J. Appl. Math., Volume 2014 (2014), Article ID 705496, 8 pages.

Dates
First available in Project Euclid: 2 March 2015

Permanent link to this document
https://projecteuclid.org/euclid.jam/1425305858

Digital Object Identifier
doi:10.1155/2014/705496

Mathematical Reviews number (MathSciNet)
MR3228139

Citation

Zheng, Haiyong; Wu, Bin; Wei, Tengda; Wang, Linshan; Wang, Yangfan. Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed Time Delays. J. Appl. Math. 2014 (2014), Article ID 705496, 8 pages. doi:10.1155/2014/705496. https://projecteuclid.org/euclid.jam/1425305858


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