Synchronization and Control of Spatiotemporal Chaos using Time-Series Data from Local Regions

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

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File in Latex, Figures may be obtained on request at the following address - ravi@ems.ncl.res.in

Scientific paper

10.1063/1.166310

In this paper we show that the analysis of the dynamics in localized regions, i.e., sub-systems can be used to characterize the chaotic dynamics and the synchronization ability of the spatiotemporal systems. Using noisy scalar time-series data for driving along with simultaneous self-adaptation of the control parameter representative control goals like suppressing spatiotemporal chaos and synchronization of spatiotemporally chaotic dynamics have been discussed.

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