A New Criterion for Global Robust Stability of Interval Delayed Neural Networks

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2008

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Elsevier Science Bv

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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 global robust stability of Hopfield-type interval neural networks with delay is presented. An example showing the effectiveness of the present criterion is given. (C) 2007 Elsevier B.V. All rights reserved.

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Dynamical interval neural networks, Equilibrium analysis, Global robust stability, Hopfield neural networks, Neural networks, Nonlinear systems, Stability, Time-delay systems

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Volume

221

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1

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219

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225

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https://doi.org/10.1016/j.cam.2007.10.059
 https://hdl.handle.net/20.500.14411/1034

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