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Improved Stability Criteria for Delayed Neural Networks

  • Conference paper
Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Abstract

This paper is concerned with the stability problem of delayed neural networks. An improved integral inequality Lemma is proposed to handle the cross-product terms occurred in the derivative of Lyapunov functional. By using the new lemma and a novel delay decomposition approach, we propose the new delay-range-dependent stability criteria for time varying delay neural networks. The sufficient conditions obtained in this paper are less conservative than those in the former literature.

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Zheng, M., Fei, M., Yang, T., Li, Y. (2010). Improved Stability Criteria for Delayed Neural Networks. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15859-9_18

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  • DOI: https://doi.org/10.1007/978-3-642-15859-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15858-2

  • Online ISBN: 978-3-642-15859-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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