2013/09/12 by Gilson F. de Oliveira, Gilson F. de Oliveira Jr., Hugo L. D. de Souza Cavalcante +6
Computer Science · Engineering · Mathematics · Neuroscience · Physics and Astronomy · #Amplitude #Artificial intelligence #Attractor #Chaos control and synchronization #Chaotic #Computer science #Condensed matter physics #Control theory (sociology) #Coupling (piping) #Coupling strength #Electronic circuit #Engineering #Exponent #Mathematical analysis #Mathematics #Neural dynamics and brain function #Nonlinear Dynamics and Pattern Formation #Physics #Power (physics) #Power law #Quantum mechanics #Statistical physics #Statistics #Synchronization (alternating current) #Synchronization of chaos #Topology (electrical circuits) #nlin.CD
paper · pdf · doi:10.1063/1.4861815
15 pages, 6 figures
arxiv created 2013/09/12 · openalex publication_date 2014/01/15 · arxiv updated 2015/06/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We study the statistics of the amplitude of the synchronization error in chaotic electronic circuits coupled through linear feedback. Depending on the coupling strength, our system exhibits three qualitatively different regimes of synchronization: weak coupling yields independent oscillations; moderate to strong coupling produces a regime of intermittent synchronization known as attractor bubbling; and stronger coupling produces complete synchronization. In the regime of moderate coupling, the probability distribution for the sizes of desynchronization events follows a power law, with an exponent that can be adjusted by changing the coupling strength. Such power-law distributions are interesting, as they appear in many complex systems. However, most of the systems with such a behavior have a fixed value for the exponent of the power law, while here we present an example of a system where the exponent of the power law is easily tuned in real time.