Synchronization of non-identical chaotic delayed fuzzy cellular neural networks based on sliding mode control
✍ Scribed by Qintao Gan; Rui Xu; Pinghua Yang
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 711 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1007-5704
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper, we investigate the synchronization problems of chaotic fuzzy cellular neural networks with time-varying delays. To overcome the difficulty that complete synchronization between non-identical chaotic neural networks cannot be achieved only by utilizing output feedback control, we use a sliding mode control approach to study the synchronization of non-identical chaotic fuzzy cellular neural networks with time-varying delays, where the parameters and activation functions are mismatched. This research demonstrates the effectiveness of application in secure communication. Numerical simulations are carried out to illustrate the main results.