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Exponential stability and periodic solution for fuzzy BAM Neural networks with time varying delays

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摘要 In this paper,a class of fuzzy BAM neural networks with time varying delays is discussed.By using the properties of M-matrix,Linear Matrix Inequality(LMI)approach and general Lyapunov-Krasovskii functional,some new sufficient conditions are derived to ensure the existence of periodic solutions and the global exponential stability of the fuzzy BAM neural networks with time varying delays.These results have important significance in the design of global exponential stable BAM networks with delays.Moreover,an example is given to illustrate that the conditions of the results in the paper are feasible.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2009年第2期157-166,共10页 高校应用数学学报(英文版)(B辑)
基金 Supported by the National Natural Science Foundation of China(60574043) the Science Foundation of the Education Committee of Hunan Province(06C792 07C700) the Construction Program of Key Disciplines in Hunan Province,Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan province
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