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• W2022179417 startingPage "96" @default.
• W2022179417 abstract "In this paper, the stability of complex-valued neural networks with probabilistic time-varying delays is investigated. Two important integral inequalities that include Jensen׳s inequality as a special case are developed. By constructing proper Lyapunov–Krasovskii functional and employing inequality technique, several delay-distribution-dependent sufficient conditions are obtained to guarantee the global asymptotic and exponential stability of the addressed neural networks. These conditions are expressed in terms of complex-valued LMIs, which can be checked numerically using the effective YALMIP toolbox in MATLAB. An example with simulations is given to show the effectiveness of the obtained results." @default.
• W2022179417 created "2016-06-24" @default.
• W2022179417 creator A5018218343 @default.
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• W2022179417 date "2015-07-01" @default.
• W2022179417 modified "2023-10-16" @default.
• W2022179417 title "Stability analysis of complex-valued neural networks with probabilistic time-varying delays" @default.
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• W2022179417 doi "https://doi.org/10.1016/j.neucom.2015.02.015" @default.
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