Intermittent Finite-Time Synchronization for Reaction-Diffusion Competitive Neural Networks with Different Time Scales
This paper focuses on the finite-time synchronization issue for reaction-diffusion competitive neural networks (RCNNs) with different time scales and time-varying delays. To reduce the waste of network resources, a periodically intermittent control strategy is presented based on two time scales (sho...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2024/3853241 |
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