A generalized LMI-Based approach to the global asymptotic stability of delayed cellular neural networks

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2004

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Ieee-inst Electrical Electronics Engineers inc

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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 linear matrix inequality (LMI)-based criterion for the global asymptotic stability and uniqueness of the equilibrium point of a class of delayed cellular neural networks (CNNs) is presented. The criterion turns out to be a generalization and improvement over some previous criteria.

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delayed cellular neural networks (DCNNs), equilibrium analysis, global stability

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196

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Volume

15

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1

Start Page

223

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225

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https://doi.org/10.1109/TNN.2003.820616
 https://hdl.handle.net/20.500.14411/1062

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