Global Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approach

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2004

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Iee-inst Elec Eng

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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 asymptotic stability and uniqueness of the equilibrium point of cellular neural networks with unequal delays is presented. The criterion is computationally efficient, since it is in the form of linear matrix inequality (LMI).

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WoS Q

Q4

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Volume

40

Issue

9

Start Page

548

End Page

549

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https://doi.org/10.1049/el:20040392
 https://hdl.handle.net/20.500.14411/1095

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27

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24

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