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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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
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