@article {IOPORT.06036531,
    author       = {Torres, Lizeth and Besan\c{c}on, Gildas and Georges, Didier and Verde, Cristina},
    title        = {Exponential nonlinear observer for parametric identification and synchronization of chaotic systems.},
    year         = {2012},
    journal      = {Mathematics and Computers in Simulation},
    volume       = {82},
    number       = {5},
    issn         = {0378-4754},
    pages        = {836-846},
    publisher    = {Elsevier Science B.V. (North-Holland), Amsterdam},
    doi          = {10.1016/j.matcom.2011.12.003},
    abstract     = {Summary: This work proposes the use of a new exponential nonlinear observer for the purpose of parametric identification and synchronization of chaotic systems. The exponential convergence of the observer is guaranteed by a persistent excitation condition. This approach is shown to be suitable for a wide variety of chaotic systems. In order to illustrate the observer design procedure, several examples with simulation results are presented.},
    identifier   = {06036531},
}