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Adaptive tracking control of chaotic systems with applications to synchronization
Antonio Loria
Arturo Zavala Río
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1109/TCSI.2007.904682
Adaptation
Chaos control
Controlled synchronization
Parameter uncertainty
"We address the problem of controlled synchronization of a class of uncertain chaotic systems. Our approach follows techniques of adaptive tracking control and identification of dynamic systems from recent developments of control theory. In particular, we use new notions of the so-called property of persistency of excitation - known to be sufficient and necessary for parameter estimation - to construct adaptive algorithms that ensure perfect tracking/synchronization and parameter estimation of chaotic systems with parameter uncertainty. Our theoretical findings are supported by particular examples and simulation studies on systems such as the Lorenz and Rossler oscillators and the Duffing equation."
IEEE
2007
Artículo
A. Loria and A. Zavala-Rio, "Adaptive Tracking Control of Chaotic Systems With Applications to Synchronization," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 54, no. 9, pp. 2019-2029, Sept. 2007. doi: 10.1109/TCSI.2007.904682
MATEMÁTICAS
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Publicaciones Científicas Control y Sistemas Dinámicos

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