New Lmi-Based Criteria for Global Robust Stability of Delayed Neural Networks

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2010

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Elsevier Science 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

Some novel, linear matrix inequality based, criteria for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay are presented. A comparison of the present criteria with the previous criteria is made. (C) 2010 Elsevier Inc. All rights reserved.

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Dynamical interval neural networks, Equilibrium analysis, Global robust stability, Hopfield neural networks, Lyapunov methods, Neural networks

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Volume

34

Issue

10

Start Page

2958

End Page

2965

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https://doi.org/10.1016/j.apm.2010.01.005
 https://hdl.handle.net/20.500.14411/1616

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