Adaptive stochastic synchronization of delayed reaction–diffusion neural networks
In this paper, we deal with the adaptive stochastic synchronization for a class of delayed reaction–diffusion neural networks. By combing Lyapunov–Krasovskii functional, drive-response concept, the adaptive feedback control scheme, and linear matrix inequality method, we derive some sufficient condi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-03-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019893056 |