English

Controlling Chimeras

Adaptation and Self-Organizing Systems 2015-03-17 v2 Dynamical Systems Pattern Formation and Solitons

Abstract

Coupled phase oscillators model a variety of dynamical phenomena in nature and technological applications. Non-local coupling gives rise to chimera states which are characterized by a distinct part of phase-synchronized oscillators while the remaining ones move incoherently. Here, we apply the idea of control to chimera states: using gradient dynamics to exploit drift of a chimera, it will attain any desired target position. Through control, chimera states become functionally relevant; for example, the controlled position of localized synchrony may encode information and perform computations. Since functional aspects are crucial in (neuro-)biology and technology, the localized synchronization of a chimera state becomes accessible to develop novel applications. Based on gradient dynamics, our control strategy applies to any suitable observable and can be generalized to arbitrary dimensions. Thus, the applicability of chimera control goes beyond chimera states in non-locally coupled systems.

Keywords

Cite

@article{arxiv.1402.6363,
  title  = {Controlling Chimeras},
  author = {Christian Bick and Erik A. Martens},
  journal= {arXiv preprint arXiv:1402.6363},
  year   = {2015}
}
R2 v1 2026-06-22T03:15:49.424Z