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Published on: February 18, 2021
Controlling chimera states via minimal coupling modification
Giulia Ruzzene1, Iryna Omelchenko2, Eckehard Schöll2
1Department of Information and Communication Technologies, Universitat Pompeu Fabra, Carrer Roc Boronat 138, 08018 Barcelona, Catalonia, Spain.
Researchers developed a novel method to control chimera states in oscillator networks by adjusting connectivity. A single pacemaker oscillator or even modifying one connection can precisely control these complex emergent behaviors.
Area of Science:
- Complex Systems
- Nonlinear Dynamics
- Network Science
Background:
- Chimera states are complex emergent phenomena observed in networks of coupled oscillators, characterized by coexisting synchronized and desynchronized behavior.
- Controlling chimera states is crucial for understanding and potentially harnessing complex network dynamics.
Purpose of the Study:
- To propose and investigate a method for controlling chimera states in nonlocally coupled phase oscillator networks.
- To identify the minimal modifications to network connectivity required for chimera state control.
Main Methods:
- The study focuses exclusively on manipulating network connectivity to control chimera states.
- A 'pacemaker' oscillator, with unidirectional links, is introduced as a mechanism to influence chimera formation and location.
- The impact of minimal connectivity changes, such as altering a single connection's strength, is explored.
Main Results:
- A pacemaker oscillator can induce chimera states under conditions where they would not spontaneously form.
- The pacemaker effectively attracts the incoherent population of the chimera state, allowing for positional control.
- Less invasive modifications, like adjusting the strength of a single connection, are sufficient to achieve chimera control.
Conclusions:
- Network connectivity is a powerful tool for controlling complex emergent phenomena like chimera states.
- Minimal, targeted modifications to network structure can significantly influence and control collective oscillator behavior.
- The findings offer insights into the fundamental mechanisms governing synchronization and pattern formation in complex networks.
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