Abstract
Noise-induced synchronization is a pervasive phenomenon observed in a multitude of natural and engineering systems. Here, we devise a machine learning framework with the aim of devising noise controllers to achieve synchronization in diverse complex physical systems. We find the implicit energy regularization phenomenon of the formulated framework that engenders energy-saving artificial noise and we rigorously elucidate the underlying mechanism driving this phenomenon. We substantiate the practical feasibility and efficacy of this framework by testing it across various representative systems of physical and biological significance, each influenced by distinct constraints reflecting real-world scenarios.
| Original language | English |
|---|---|
| Article number | L012203 |
| Number of pages | 6 |
| Journal | Physical Review. E, Statistical, Nonlinear and Soft Matter Physics |
| Volume | 110 |
| Issue number | 1 |
| Early online date | 25 Jul 2024 |
| DOIs | |
| Publication status | Published - 25 Jul 2024 |
Data Availability Statement
No data availability statement.Funding
Acknowledgments. W.L. is supported by the NSFC (Grant No. 11925103), the IPSMEC (Grant No. 2023ZKZD04), and the STCSM (Grants No. 22JC1401402, No. 22JC1402500, and No. 2021SHZDZX0103). Q.Z. is supported by the China Postdoctoral Science Foundation (Grant No. 2022M720817), by the Shanghai Postdoctoral Excellence Program (Grant No. 2021091), and by the STCSM (Grants No. 21511100200, No. 22ZR1407300, and No. 23YF1402500).
| Funders | Funder number |
|---|---|
| National Natural Science Foundation of China | 11925103 |
| Shanghai Municipal Education Commission | 2023ZKZD04 |
| Science and Technology Commission of Shanghai Municipality | 22JC1401402, 22JC1402500, 2021SHZDZX0103, 21511100200, 22ZR1407300, 23YF1402500 |
| China Postdoctoral Science Foundation | 2022M720817 |
| Shanghai Postdoctoral Excellence Program | 2021091 |