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Coexisting synchronous and asynchronous states in locally coupled array of oscillators by partial self-feedback
Bidesh K Bera1, Dibakar Ghosh1, Punit Parmananda2
1Physics and Applied Mathematics Unit, Indian Statistical Institute, Kolkata 700108, India.
Self-feedback control on oscillator arrays creates coexisting synchronous and asynchronous subpopulations. This phenomenon, similar to chimera states, allows control over coherent and incoherent states by tuning feedback and coupling.
Area of Science:
- Nonlinear dynamics
- Complex systems
- Theoretical physics
Background:
- Oscillator arrays exhibit complex behaviors, including synchronization and desynchronization.
- Chimera states represent a unique phenomenon where coherent and incoherent subpopulations coexist within an array.
Purpose of the Study:
- To investigate the emergence of coexisting synchronous and asynchronous subpopulations in one-dimensional oscillator arrays.
- To explore the effect of self-feedback control on the dynamics of these arrays.
- To understand the tunability of coherent and incoherent states.
Main Methods:
- Applying self-feedback control to subpopulations of identical oscillators in one-dimensional arrays.
- Utilizing numerical simulations.
- Employing the Landau-Stuart system and the Kuramoto-Sakaguchi phase model.
Main Results:
- Self-feedback control induced the emergence of coexisting synchronous and asynchronous subpopulations.
- The system exhibited behavior analogous to chimera states, with subpopulations splitting into coherent and incoherent states.
- The sizes of coherent and incoherent subpopulations could be controlled by adjusting nearest-neighbor coupling and self-feedback strength, though precise control was unpredictable.
Conclusions:
- Self-feedback is an effective mechanism for generating complex dynamic states in oscillator arrays.
- The study demonstrates a method for controlling the balance between order and disorder in coupled oscillator systems.
- The findings contribute to the understanding of emergent phenomena in complex systems and nonlinear dynamics.
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