A Novel Global Robust Stability Criterion for Neural Networks With Delay

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2005

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Elsevier Science Bv

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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 based on the intervalised network parameters for the global robust stability of Hopfield-type neural networks with delay is presented. The criterion is compared with an earlier criterion. (c) 2005 Elsevier B.V. All rights reserved.

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dynamical interval neural networks, equilibrium analysis, global robust stability, Hopfield neural networks, neural networks

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337

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4-6

Start Page

369

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373

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https://doi.org/10.1016/j.physleta.2005.02.004
 https://hdl.handle.net/20.500.14411/1261

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