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Grass-roots optimization of coupled oscillator networks.
Pranick R Chamlagai1, Dane Taylor2, Per Sebastian Skardal1
1Department of Mathematics, Trinity College, Hartford, Connecticut 06106, USA.
Physical Review. E
|October 21, 2022
Summary
This study introduces "grass-roots" optimization, a local mechanism for enhancing system synchronization. This approach achieves results comparable to global optimization while improving robustness in complex systems like power grids and cardiac tissue.
Area of Science:
- Complex Systems
- Systems Biology
- Network Science
Background:
- Synchronization is crucial in biological and physical systems, but current optimization theories rely on global information.
- There's a gap in understanding self-organized, collective processes for optimizing or repairing synchronous systems, such as paracrine signaling in cardiac cells.
Purpose of the Study:
- To introduce and investigate a novel multiscale mechanism for optimizing synchronization using local information.
- To demonstrate the efficacy and robustness of this
- grass-roots
- optimization approach in complex systems.
Main Methods:
- Developed a multiscale framework for
- grass-roots
- synchronization optimization.
- Modeled and analyzed systems including cardiac tissue and power grids.
Main Results:
- Grass-roots optimized systems demonstrate synchronization capabilities comparable to globally optimized systems.
- These systems exhibit enhanced robustness against targeted attacks and subsystem islanding.
Conclusions:
- Local optimization mechanisms can effectively drive global system synchronization.
- Grass-roots optimization offers a robust and scalable alternative for complex system design and resilience.
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