Predefined-time synchronization of inertial memristive neural networks
Based on a novel control protocol, the synchronization problem of predefined-time of neural networks with inertia and memristor is studied. The network model considered in this paper can be widely used to simulate biological synapses, and has good biological neural network characteristics. This pape...
| Published in: | Nantong Daxue xuebao. Ziran kexue ban |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of Journal of Nantong University (Natural Science Edition)
2023-06-01
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| Subjects: | |
| Online Access: | https://ngzke.cbpt.cnki.net/portal/journal/portal/client/paper/b98b247d6f086cf5619ca0a818eabb52 |
| Summary: | Based on a novel control protocol, the synchronization problem of predefined-time of neural networks with inertia and memristor is studied. The network model considered in this paper can be widely used to simulate biological synapses, and has good biological neural network characteristics. This paper proposes a predefined-time synchronization criterion for inertial memristive neural networks by constructing a suitable Lyapunov function and using inequality technique. Meanwhile, the proposed control protocol can make the system stable in predefined-time, which is independent of the initial value and control parameters. Finally, the numerical simulation verifies the validity of the proposed theoretical results. |
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| ISSN: | 1673-2340 |