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Stability of Switched Cellular Neural Networks with Flat Fuzzy Feedback Min and Max Templates

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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Abstract

In this paper, switched cellular neural networks are studied. Some sufficient conditions are obtained to guarantee that switched cellular neural network with flat fuzzy feedback Min templates and flat fuzzy feedback Max templates is globally exponentially stable. Since our assumptions relax the previous assumptions in some existing works, the results presented in this paper are the improvement and extension of the existed ones.

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© 2009 Springer-Verlag Berlin Heidelberg

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Huang, J., Liu, J. (2009). Stability of Switched Cellular Neural Networks with Flat Fuzzy Feedback Min and Max Templates. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_25

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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