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Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Unbounded Distributed Delays

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Abstract

Asymptotic stability problem of a class of fuzzy cellular neural networks with unbounded distributed delays is studied. New stability criteria are derived by employing a Lyapunov-Krasovskii functional and using LMI approach. Numerical examples are provided to illustrate the effectiveness and less conservativeness of the developed techniques.

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Authors and Affiliations

  1. Department of Mathematics, Jinan University, 510632, Guangzhou, People’s Republic of China

    Manchun Tan

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  1. Manchun Tan
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Correspondence to Manchun Tan.

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Tan, M. Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Unbounded Distributed Delays. Neural Process Lett 31, 147–157 (2010). https://doi.org/10.1007/s11063-010-9130-4

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  • DOI: https://doi.org/10.1007/s11063-010-9130-4

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