Abstract
Three-cell Cellular Neural Networks were analyzed to determine the possibilities of suppressing chaotic behavior using laboratory environment and experimental results of stabilization of one of the existing unstable periodic orbits utilizing small periodic perturbations to one of the circuit parameters. Results indicate that the control method is sensitive to noise and accuracy of the computed parameters of the stabilized periodic orbit.
| Original language | English |
|---|---|
| Pages | 345 |
| Number of pages | 1 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) - Rome, Italy Duration: 18 Dec 1994 → 21 Dec 1994 |
Conference
| Conference | Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) |
|---|---|
| City | Rome, Italy |
| Period | 18/12/94 → 21/12/94 |
Fingerprint
Dive into the research topics of 'Control of a real chaotic cellular neural network'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver