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• W2037867037 startingPage "10583" @default.
• W2037867037 abstract "In this paper, the Takagi–Sugeno (TS) fuzzy model representation is extended to the stability analysis for uncertain Cohen–Grossberg type bidirectional associative memory (BAM) neural networks with time-varying delays using linear matrix inequality (LMI) theory. A novel LMI-based stability criterion is obtained by using LMI optimization algorithms to guarantee the asymptotic stability of uncertain Cohen–Grossberg BAM neural networks with time varying delays which are represented by TS fuzzy models. Finally, the proposed stability conditions are demonstrated with numerical examples." @default.
• W2037867037 created "2016-06-24" @default.
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• W2037867037 date "2009-09-01" @default.
• W2037867037 modified "2023-09-23" @default.
• W2037867037 title "Robust stability of uncertain fuzzy Cohen–Grossberg BAM neural networks with time-varying delays" @default.
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• W2037867037 doi "https://doi.org/10.1016/j.eswa.2009.02.058" @default.
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