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Neural Processing Letters

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13-04-2020

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

Authors: Xuan Chen, Dongyun Lin

Published in: Neural Processing Letters | Issue 3/2020

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Abstract

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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Title: Passivity Analysis of Non-autonomous Discrete-Time Inertial Neural Networks with Time-Varying Delays
Authors: Xuan Chen
Dongyun Lin
Publication date: 13-04-2020
Publisher: Springer US
Published in: Neural Processing Letters / Issue 3/2020
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-020-10235-6

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