Exponential nonlinear observer for parametric identification and synchronization of chaotic systems

Lizeth Torres, Gildas Besançon, Didier Georges and Cristina Verde

Mathematics and Computers in Simulation (MATCOM), 2012, vol. 82, issue 5, 836-846

Abstract: 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.

Keywords: High gain observer; Extended Kalman filter; Synchronization; Parameter estimation; Chaotic systems (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:82:y:2012:i:5:p:836-846

DOI: 10.1016/j.matcom.2011.12.003

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