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. (c) 1998 American Institute of Physics.
Parekh
Nita
N
Chemical Engineering Division, National Chemical Laboratory, Pune - 411 008, India.
Ravi Kumar
V.
V
Kulkarni
B. D.
BD