English

Control of birhythmicity: A self-feedback approach

Adaptation and Self-Organizing Systems 2017-06-28 v1 Pattern Formation and Solitons

Abstract

Birhythmicity occurs in many natural and artificial systems. In this paper we propose a self-feedback scheme to control birhythmicity. To establish the efficacy and generality of the proposed control scheme, we apply it on three birhythmic oscillators from diverse fields of natural science, namely, an energy harvesting system, the p53-Mdm2 network for protein genesis (the OAK model) and a glycolysis model (modified Decroly-Goldbeter model). Using the harmonic decomposition technique and energy balance method we derive the analytical conditions for the control of birhythmicity. A detailed numerical bifurcation analysis in the parameter space establishes that the control scheme is capable of eliminating birhythmicity and it can also induce transitions between different forms of bistability. As the proposed control scheme is quite general, it can be applied for control of several real systems, particularly in biochemical and engineering systems.

Keywords

Cite

@article{arxiv.1706.04036,
  title  = {Control of birhythmicity: A self-feedback approach},
  author = {Debabrata Biswas and Tanmoy Banerjee and Juergen Kurths},
  journal= {arXiv preprint arXiv:1706.04036},
  year   = {2017}
}

Comments

Accepted in Chaos: An Interdisciplinary Journal of Nonlinear Science

R2 v1 2026-06-22T20:17:27.158Z