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- W4224093313 abstract "In this paper, to resist stochastic cyber attacks and suppress the influence of the exogenous disturbance in synchronization of multiplex neural networks, an adaptive quantization control strategy is proposed. To overcome uncertainties and represent constraints in communication, an adaptive quantitative controller is designed, which is used to arrive outer synchronized behavior with an H∞ performance between the multiplex neural networks under stochastic cyber attacks and exogenous disturbance. The node of the multiplex networks is neural networks which is named neural sub-networks. It is assumed that the neural sub-networks in the multiplex networks with delay topology are coupled by nonlinear functions. Based on Lyapunov stability method, the conditions for the multiplex networks to achieve synchronization with an H∞ performance are presented. Finally, numerical example illustrates the effective of the theoretical framework." @default.
- W4224093313 created "2022-04-19" @default.
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- W4224093313 date "2022-07-01" @default.
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- W4224093313 title "Adaptive quantitative control for robust <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML altimg=si10.svg><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> synchronization between multiplex neural networks under stochastic cyber attacks" @default.
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- W4224093313 doi "https://doi.org/10.1016/j.neucom.2022.04.054" @default.
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