Novel LMI condition for global robust stability of delayed neural networks

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Date

2007

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Publisher

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 uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay is presented. The criterion takes the form of a linear matrix inequality and hence is computationally attractive. An example showing the effectiveness of the present approach is given. (C) 2006 Elsevier Ltd. All rights reserved.

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26

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Volume

34

Issue

2

Start Page

503

End Page

508

URI

https://doi.org/10.1016/j.chaos.2006.03.034
 https://hdl.handle.net/20.500.14411/878

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