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摘要：
This paper investigates the passivity of memristive bidirectional associate memory neural networks (MBAMNNs) with leakage and additive time-varying delays. Based on some useful inequalities and appropriate Lyapunov-Krasovskii functionals (LKFs), several delay-dependent conditions for passivity performance are obtained in linear matrix inequalities (LMIs). Moreover, the leakage delays as well as additive delays are considered separately. Finally, numerical simulations are provided to demonstrate the feasibility of the theoretical results.
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来源 ：
MODERN PHYSICS LETTERS B
ISSN： 0217-9849
年份： 2018
期： 4
卷： 32
1 . 9 0 0
JCR@2022
ESI学科： PHYSICS;
ESI高被引阀值：145
JCR分区：3
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