Synchronization of chaotic systems using neural-network-based controller

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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 languageBritish English
Pages (from-to)2117-2125
Number of pages9
JournalInternational Journal of Bifurcation and Chaos
Issue number6
StatePublished - Jun 2007


  • Chaos
  • Neural network
  • Stability
  • Synchronization


Dive into the research topics of 'Synchronization of chaotic systems using neural-network-based controller'. Together they form a unique fingerprint.

Cite this