Title | ||
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Event-Triggered Exponential Synchronization for Complex-Valued Memristive Neural Networks With Time-Varying Delays |
Abstract | ||
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This article solves the event-triggered exponential synchronization problem for a class of complex-valued memristive neural networks with time-varying delays. The drive-response complex-valued memristive neural networks are translated into two real-valued memristive neural networks through the method of separating the complex-valued memristive neural networks into real and imaginary parts. In order to reduce the information exchange frequency between the sensor and the controller, a novel event-triggered mechanism with the event-triggering functions is introduced in wireless communication networks. Some sufficient conditions are established to achieve the event-triggered exponential synchronization for drive-response complex-valued memristive neural networks with time-varying delays. In addition, to guarantee that the Zeno behavior cannot occur, a positive lower bound for the interevent times is explicitly derived. Finally, numerical simulations are provided to illustrate the effectiveness and superiority of the obtained theoretical results. |
Year | DOI | Venue |
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2020 | 10.1109/TNNLS.2019.2952186 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Synchronization,Delays,Biological neural networks,Memristors,Information exchange,Asymptotic stability | Journal | 31 |
Issue | ISSN | Citations |
10 | 2162-237X | 4 |
PageRank | References | Authors |
0.37 | 17 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
xiaofan li | 1 | 79 | 12.44 |
Wenbing Zhang | 2 | 537 | 23.91 |
Jianán Fang | 3 | 215 | 16.62 |
Huiyuan Li | 4 | 41 | 3.53 |