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Synchronization

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Cellular Neural Networks

Part of the book series: Springer Series in Advanced Microelectronics ((MICROELECTR.,volume 1))

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Abstract

One recent and interesting research topic in the circuit area is the synchronization of nonlinear circuits (SNC) [104-107,109,110]. Some techniques have been developed to force two (or more) identical nonlinear dynamic circuits, starting from different initial conditions, to synchronize, namely to follow identical trajectories (asymptotically, at least). This is particularly interesting if the circuits behave in a chaotic way because of their sensitive dependence on initial conditions. However, if certain conditions are satisfied [104,105], then these circuits can be successfully synchronized.

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© 1999 Springer-Verlag Berlin Heidelberg

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Manganaro, G., Arena, P., Fortuna, L. (1999). Synchronization. In: Cellular Neural Networks. Springer Series in Advanced Microelectronics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60044-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-60044-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64232-6

  • Online ISBN: 978-3-642-60044-9

  • eBook Packages: Springer Book Archive

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