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New Results on Stability Criteria of Neural Networks with Time Varying Delay

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Advances in Information Technology and Industry Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 136))

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Abstract

This paper deals with the problem of delay-dependent stability for a class of time delay neural networks(NNs). By constructing novel time varying delay-decomposing Lyapunov Krasovskii Functional(LKF), we propose the new stability results for time varying delay neural network. The sufficient conditions obtained in this paper are less conservative than those in the former literature.

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Zheng, M., Xiao, W., Li, Y. (2012). New Results on Stability Criteria of Neural Networks with Time Varying Delay. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-26001-8_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-26000-1

  • Online ISBN: 978-3-642-26001-8

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