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Abstract:
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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Source :
MODERN PHYSICS LETTERS B
ISSN: 0217-9849
Year: 2018
Issue: 4
Volume: 32
1 . 9 0 0
JCR@2022
ESI Discipline: PHYSICS;
ESI HC Threshold:145
JCR Journal Grade:3
Cited Count:
WoS CC Cited Count: 6
SCOPUS Cited Count: 6
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
Affiliated Colleges: