Abstract
This paper presents the synchronization of chaotic systems. A feed-forward neural network will be employed to form the proposed neural-network-based controller to perform chaotic synchronization. Stability conditions will be derived to guarantee the system stability. The system performance will be ensured and the parameters of the neural networks can be obtained by solving the solution to the generalized eigenvalue minimization problem. A simulation example will be given to illustrate the effectiveness of the proposed approach.
| Original language | British English |
|---|---|
| Pages (from-to) | 2117-2125 |
| Number of pages | 9 |
| Journal | International Journal of Bifurcation and Chaos |
| Volume | 17 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2007 |
Keywords
- Chaos
- Neural network
- Stability
- Synchronization