On Global Exponential Stability of Delayed Cellular Neural Networks

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2007

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Pergamon-elsevier Science Ltd

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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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Senan and Arik [Senan S, Arik S. New results for exponential stability of delayed cellular neural networks. IEEE Trans Circ Syst 112005;52(3):154-8] have presented criteria for the global exponential stability of delayed cellular neural networks. A less restrictive version of their approach is highlighted presently. A simplification of the results is discussed. A simplified form of an earlier exponential stability criterion due to Liao, Chen and Sanchez is presented. (c) 2006 Elsevier Ltd. All rights reserved.

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33

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1

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188

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193

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https://doi.org/10.1016/j.chaos.2006.01.029
 https://hdl.handle.net/20.500.14411/898

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