Passivity Analysis of Non-autonomous Discrete-Time Inertial Neural Networks with Time-Varying Delays

被引：0
作者：
Xuan Chen
Dongyun Lin
机构：
[1] Xiamen University,Department of Automation
[2] Guizhou Normal University,School of Physics and Electronic Science
来源：
Neural Processing Letters | 2020年 / 51卷
关键词：
Discrete-time inertial neural networks; Non-autonomous; Passivity; Maximum singular value; Time-varying delays;
D O I：
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中图分类号：
学科分类号：
摘要：
This paper addresses the passivity problem for delayed non-autonomous discrete-time inertial neural networks (NDINN), including the discrete-time switched inertial neural networks (DSINN) with state-dependent discontinuous right-hand side as its special case. First, we take a linear transformation to transform the original network into first-order difference equations. Second, by utilizing the Lyapunov direct method and with the help of the property of maximum singular value, we present a passivity criterion for the NDINN with delay-dependent linear matrix inequalities. Combining with the characteristic function method, the proposed analytical approach for NDINN is further extended to the DSINN. Finally, two simulation examples validate the efficacy of the analytical results.
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页码：2929 / 2944
页数：15
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