Modified Criteria for Global Robust Stability of Interval Delayed Neural Networks

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2009

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Elsevier Science inc

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Department of Mechatronics Engineering
Our purpose in the program is to educate our students for contributing to universal knowledge by doing research on contemporary mechatronics engineering problems and provide them with design, production and publication skills. To reach this goal our post graduate students are offered courses in various areas of mechatronics engineering, encouraged to do research to develop their expertise and their creative side, as well as develop analysis and design skills.

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Abstract

Two simple criteria for global robust stability of Hopfield-type interval neural networks with delay are presented. The criteria turn out to be modified versions of an earlier criterion due to Cao, Huang, and Qu. Examples show the effectiveness of the modified criteria. Numerical simulations are carried out to confirm the applicability of the modified criteria. (C) 2009 Elsevier Inc. All rights reserved.

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Dynamical interval neural networks, Equilibrium analysis, Global robust stability, Hopfield neural networks, Neural networks, Nonlinear systems, Time-delay systems

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Volume

215

Issue

8

Start Page

3124

End Page

3133

URI

https://doi.org/10.1016/j.amc.2009.10.006
 https://hdl.handle.net/20.500.14411/1521

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