Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synchronization and Control of Spatiotemporal Chaos using Time-Series
  Data from Local Regions   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.

1
The categories of this paper are: cs
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph