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• W2079668247 abstract "We study a class of impulsive neural networks with mixed time delays and generalized activation functions. The mixed delays include time-varying transmission delay, bounded time-varying distributed delay, and discrete constant delay in the leakage term. By using the contraction mapping theorem, we obtain a sufficient condition to guarantee the global existence and uniqueness of the solution for the addressed neural networks. In addition, a delay-independent sufficient condition for existence of an equilibrium point and some delay-dependent sufficient conditions for stability are derived, respectively, by using topological degree theory and Lyapunov-Krasovskii functional method. The presented results require neither the boundedness, monotonicity, and differentiability of the activation functions nor the differentiability (even differential boundedness) of time-varying delays. Moreover, the proposed stability criteria are given in terms of linear matrix inequalities (LMI), which can be conveniently checked by the MATLAB toolbox. Finally, an example is given to show the effectiveness and less conservativeness of the obtained results." @default.
• W2079668247 created "2016-06-24" @default.
• W2079668247 creator A5009796023 @default.
• W2079668247 creator A5028773233 @default.
• W2079668247 date "2014-01-01" @default.
• W2079668247 modified "2023-09-23" @default.
• W2079668247 title "Existence, Uniqueness, and Stability Analysis of Impulsive Neural Networks with Mixed Time Delays" @default.
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• W2079668247 doi "https://doi.org/10.1155/2014/327070" @default.
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