@article{MAKHILLJEAS20127613349,
    title = {Self-Synchronization in Chaotic Systems},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {7},
    number = {6},
    pages = {411-417},
    year = {2012},
    issn = {1816-949x},
    doi = {jeasci.2012.411.417},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2012.411.417},
    author = {I.A.},
    keywords = {Chaotic system,self-synchronization,chaos communication,information signal,frequency,Nigeria},
    abstract = {In communication, the recovery of the information signal at 
  the receiver end is only possible if carriers at the transmitting and receiving 
  ends are synchronized both in frequency and phase. The notion of frequency and 
  phase is in general not well-defined in chaotic systems and can thus not be 
  used in characterizing synchronization in chaos communications. The first success 
  in synchronization of two chaotic systems credited to Pecora and Caroll was 
  termed self-synchronization. A chaotic system is self-synchronizing if it could 
  be decomposed into at least two sub-systems; a drive sub-system (transmitter) 
  and a stable response sub-system (receiver) that synchronize when coupled with 
  a common signal. In this study, three chaotic systems: Chua’s 
  Circuit, Lorenz and Rossler System were modelled using Simulink in Matlab environment. 
  Self-synchronization was carried out between two copies of each of the chaotic 
  systems with variations in initial conditions. The trajectories of the drive 
  and response signals obtained from each pair of chaotic system after running 
  simulations clearly demonstrated the effect of self-synchronization.}
    }