Minimal universal laser network model: Synchronization, extreme events, and multistability

Abstract: The synchronization of chaotic systems has garnered considerable attention across various fields, including neuroscience and physics. Particularly in these domains, synchronizing physical systems such as laser models is crucial for secure and rapid information transmission. Consequently, numerous studies investigate the synchronizability of different laser networks by establishing logical network frameworks. In this study, we employed a minimal universal laser (MUL) model designed to capture the essential dynamics of an actual laser model within just three dimensions. Within the network model of MUL systems, we introduced the linear diffusive function of neighboring nodes’ fast variables into the feedback term of the lasers, with models arranged in a global network structure. Our examination of synchronization within the constructed MUL network utilized master stability functions and the time-averaged synchronization error index. The findings suggest that while the network fails to achieve complete synchrony, it exhibits various synchronization phenomena, including cluster synchronization, chimera states, extreme events, and multistability. These results shed light on the complex dynamics underlying the synchronization of chaotic systems in networked environments, offering insights relevant to numerous applications across diverse fields.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Minimal universal laser network model: Synchronization, extreme events, and multistability ; volume:13 ; number:1 ; year:2024 ; extent:11 ; Nonlinear engineering ; 13, Heft 1 (2024) (gesamt 11)

Contributors, Places and Time

• Creator: Mehrabbeik, Mahtab ; Parastesh, Fatemeh ; Rajagopal, Karthikeyan ; Jafari, Sajad ; Perc, Matjaz ; Meucci, Riccardo

Further information

• DOI: 10.1515/nleng-2024-0044
• URN: urn:nbn:de:101:1-2412101618253.628952756692
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 2025-08-15T07:24:11+0200