Global Robust Stability of Delayed Neural Networks: an Lmi Approach

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Date

2005

Authors

Singh, V
Sıngh, Vımal

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Volume Title

Publisher

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

New criteria for the uniqueness and global robust stability of the equilibrium point of the interval Hopfield-type delayed neural networks are presented. The criteria possess the structure of linear matrix inequality and, hence, are computationally efficient.

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Keywords

dynamical interval neural networks, equilibrium analysis, global robust stability

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Citation

121

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Volume

52

Issue

1

Start Page

33

End Page

36

URI

https://doi.org/10.1109/TCSII.2004.840118
 https://hdl.handle.net/20.500.14411/1223

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