Global Robust Stability of Interval Delayed Neural Networks: Modified Approach

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2009

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Wiley

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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 Hopfield-type delayed neural networks with the intervalized network parameters is presented. The criterion, which is derived by utilizing the idea of splitting the given interval into two intervals, is in the form of linear matrix inequality and, hence, computationally tractable. The criterion yields a less conservative condition compared with many recently reported criteria, as is demonstrated with an example. Copyright (C) 2008 John Wiley & Sons, Ltd.

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

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Volume

37

Issue

9

Start Page

995

End Page

1007

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https://doi.org/10.1002/cta.523
 https://hdl.handle.net/20.500.14411/1527

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