Novel Global Robust Stability Criterion for Neural Networks With Delay

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2009

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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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Abstract

A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. An example illustrating the improvement of the present criterion over several recently reported criteria is given. (C) 2008 Elsevier Ltd. All rights reserved.

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41

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1

Start Page

348

End Page

353

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https://doi.org/10.1016/j.chaos.2008.01.001
 https://hdl.handle.net/20.500.14411/1501

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