Generalized projective synchronization of chaotic systems viaadaptive learning control

In this paper, a learning control approach is applied to the generalized projective synchronisation (GPS) of different chaotic systems with unknown periodically time-varying parameters. Using the Lyapunov--Krasovskii functional stability theory, a differential-difference mixed parametric learning la...

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Bibliographic Details
Published inChinese physics B no. 2; pp. 119 - 126
Main Author 孙云平 李俊民 王江安 王辉林
Format Journal Article
LanguageEnglish
Published 2010
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ISSN1674-1056
2058-3834

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Summary:In this paper, a learning control approach is applied to the generalized projective synchronisation (GPS) of different chaotic systems with unknown periodically time-varying parameters. Using the Lyapunov--Krasovskii functional stability theory, a differential-difference mixed parametric learning law and an adaptive learning control law are constructed to make the states of two different chaotic systems asymptotically synchronised. The scheme is successfully applied to the generalized projective synchronisation between the Lorenz system and Chen system. Moreover, numerical simulations results are used to verify the effectiveness of the proposed scheme.
Bibliography:O415.5
generalized projective synchronisation chaotic systems adaptive learning control Lyapunov--Krasovskii functional
11-5639/O4
TP273.22
ISSN:1674-1056
2058-3834