On Global Robust Stability of Interval Hopfield Neural Networks With Delay

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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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Abstract

A criterion for the global robust stability of interval Hopfield-type neural networks with delay is presented. The criterion is a less restrictive version of a recent criterion due to Cao and Wang. An example showing the effectiveness of the present criterion is given. (c) 2006 Elsevier Ltd. All rights reserved.

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33

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4

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1183

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1188

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https://doi.org/10.1016/j.chaos.2006.01.121
 https://hdl.handle.net/20.500.14411/890

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