Chaotic synchronization and neural networks
Journal Article
·
· Radiophysics and Quantum Electronics
OSTI ID:183464
A method of developing chaotically synchronized systems when the structure of the system that generates the driving signal is unknown is proposed in this paper. This method is based on the approximation of the driving system structure by neural networks incorporated in the response system. This makes the method different from those proposed previously, which are based on the analysis of the driving system. The method is illustrated by an example of developing synchronized systems for the dynamic Lorentz system.
- OSTI ID:
- 183464
- Journal Information:
- Radiophysics and Quantum Electronics, Journal Name: Radiophysics and Quantum Electronics Journal Issue: 8 Vol. 37; ISSN 0033-8443; ISSN RPQEAC
- Country of Publication:
- United States
- Language:
- English
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