Exponential nonlinear observer for parametric identification and synchronization of chaotic systems

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.

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Year of publication:	2012
Authors:	Torres, Lizeth ; Besançon, Gildas ; Georges, Didier ; Verde, Cristina
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 82.2012, 5, p. 836-846
Publisher:	Elsevier
Subject:	High gain observer \| Extended Kalman filter \| Synchronization \| Parameter estimation \| Chaotic systems

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010751787