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Controlling chimera states in chaotic oscillator ensembles through linear augmentation
Anjuman Ara Khatun1, Haider Hasan Jafri1, Nirmal Punetha2
1Department of Physics, Aligarh Muslim University, Aligarh 202 002, India.
Researchers demonstrate a linear augmentation (LA) technique to control chimera states in coupled chaotic oscillators. This method effectively manages synchronized and desynchronized domains, offering precise control over collective dynamics.
Area of Science:
- Complex systems
- Nonlinear dynamics
- Network science
Background:
- Chimera states represent a unique phenomenon in coupled oscillator systems, characterized by the coexistence of synchronized and desynchronized domains.
- Understanding and controlling these states is crucial for applications in various fields, including neuroscience and engineering.
Purpose of the Study:
- To introduce and validate a linear augmentation (LA) technique for controlling chimera states in networks of coupled chaotic oscillators.
- To investigate the influence of LA on the spatial organization and population dynamics of coherent and incoherent oscillators.
Main Methods:
- Induced multistability was used to generate chimera states in networks of coupled chaotic oscillators.
- Linear augmentation (LA) was applied to manipulate these states.
- Basins of attraction were analyzed to understand the impact of LA on multistability.
- Master stability function was employed to assess the stability of synchronized dynamics.
Main Results:
- The linear augmentation (LA) technique successfully controlled the size and spatial location of synchronized and desynchronized populations.
- LA was shown to effectively influence the multistable behavior of the system, thereby controlling chimera states.
- The findings were independent of initial conditions and applicable to various coupling schemes (global, local, nonlocal).
Conclusions:
- Linear augmentation (LA) provides an effective strategy for controlling chimera states in oscillator ensembles.
- This method allows for the realization of desired collective dynamics by precisely managing coherent and incoherent populations.
- The LA technique offers a versatile approach applicable across different network structures and coupling configurations.
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