Global Robust Stability of Delayed Neural Networks: Estimating Upper Limit of Norm of Delayed Connection Weight Matrix

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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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The question of estimating the upper limit of parallel to B parallel to(2), which is a key step in some recently reported global robust stability criteria for delayed neural networks, is revisited (B denotes the delayed connection weight matrix). Recently, Cao, Huang, and Qu have given an estimate of the upper limit of parallel to B parallel to(2). In the present paper, an alternative estimate of the upper limit of parallel to B parallel to(2) is highlighted. It is shown that the alternative estimate may yield some new global robust stability results. (c) 2005 Elsevier Ltd. All rights reserved.

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32

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1

Start Page

259

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263

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https://doi.org/10.1016/j.chaos.2005.10.104
 https://hdl.handle.net/20.500.14411/955

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