Synchronizing chaos using reservoir computing.
Synchronizing chaos using reservoir computing.
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DOI：
10.1063/5.0161076
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发表时间：
2023-06
期刊：
影响因子：
2.9
通讯作者：
Amirhossein Nazerian;Chad Nathe;Joseph D. Hart;F. Sorrentino
中科院分区：
文献类型：
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作者：
Amirhossein Nazerian;Chad Nathe;Joseph D. Hart;F. Sorrentino
我们试图实现驱动系统与响应系统单向耦合之间的完全同步，假设在响应处对驱动器状态的可用知识有限。机器学习技术以前已经被用于从有限的测量中估计动力系统的状态。我们考虑的情况是，为了使响应系统与驱动器同步，需要了解驱动系统的不可测量状态。利用水库计算机从驱动系统的测量状态估计出驱动系统的不可测量状态，然后利用这些测量状态实现响应系统与驱动的完全同步。
We attempt to achieve complete synchronization between a drive system unidirectionally coupled with a response system, under the assumption that limited knowledge on the states of the drive is available at the response. Machine-learning techniques have been previously implemented to estimate the states of a dynamical system from limited measurements. We consider situations in which knowledge of the non-measurable states of the drive system is needed in order for the response system to synchronize with the drive. We use a reservoir computer to estimate the non-measurable states of the drive system from its measured states and then employ these measured states to achieve complete synchronization of the response system with the drive.