Parameter identification based on finite-time synchronization for Cohen–Grossberg neural networks with time-varying delays
In this paper, the finite-time synchronization problem for chaotic Cohen–Grossberg neural networks with unknown parameters and time-varying delays is investigated by using finite-time stability theory. Firstly, based on the parameter identification of uncertain delayed neural networks, a simple and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius University Press
2015-07-01
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| Series: | Nonlinear Analysis |
| Subjects: | |
| Online Access: | http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/13519 |