Global Asymptotic Stability of Neural Networks With Delay: Comparative Evaluation of Two Criteria

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2007

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Pergamon-elsevier Science Ltd

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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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In [IEEE Trans Cire Syst II 2005;52(4):181-4], a criterion for the global asymptotic stability of a class of delayed neural networks has been presented. The criterion is based on the factorization B = B(1)B(2), where B denotes the delayed connection weight matrix. In the present paper, this criterion is compared with the criterion reported in [Phys Lett A 2003;311(6):504-11]. It turns out that, as far as the case of a nonsingular matrix B, is concerned, these two criteria are one and the same. (c) 2006 Elsevier Ltd. All rights reserved.

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31

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5

Start Page

1187

End Page

1190

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https://doi.org/10.1016/j.chaos.2006.01.045
 https://hdl.handle.net/20.500.14411/959

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