Synchronization and Control of Spatiotemporal Chaos using Time-Series Data from Local Regions
arXiv:chao-dyn/9711002 · doi:10.1063/1.166310
Abstract
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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Cited by in corpus (7)
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