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Robust Passivity of Fuzzy Cohen-Grossberg Neural Networks with Time-Varying Delays

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Mathematical Modelling and Scientific Computation (ICMMSC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 283))

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Abstract

In this paper the problem of robust passivity analysis for a class of fuzzy Cohen-Grossberg neural networks with time varying delay is considered. By employing the Lyapunov technique and linear matrix inequality approach, delay independent criterion’s are established for the robust passivity of fuzzy Cohen-Grossberg neural networks. The results are expressed in terms of LMIs, which can be easily solved by the MATLAB LMI toolbox. Finally, a numerical example is given to illustrate the effectiveness of the proposed results.

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© 2012 Springer-Verlag Berlin Heidelberg

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Arunkumar, A., Mathiyalagan, K., Sakthivel, R., Anthoni, S.M. (2012). Robust Passivity of Fuzzy Cohen-Grossberg Neural Networks with Time-Varying Delays. In: Balasubramaniam, P., Uthayakumar, R. (eds) Mathematical Modelling and Scientific Computation. ICMMSC 2012. Communications in Computer and Information Science, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28926-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-28926-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28925-5

  • Online ISBN: 978-3-642-28926-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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