2008/02/29 by Murilo S. Baptista, M. S. Baptista, Sara P. Garcia +5
Computer Science · Engineering · Physics and Astronomy · #Artificial intelligence #Chaos control and synchronization #Chaotic #Chaotic systems #Computer network #Computer science #Control theory (sociology) #Coupling (piping) #Data transmission #Electrical engineering #Electronic circuit #Electronic engineering #Engineering #Extension (predicate logic) #Information transmission #Neural Networks Stability and Synchronization #Nonlinear Dynamics and Pattern Formation #Phase (matter) #Phase synchronization #Physics #Synchronization (alternating current) #Synchronization networks #Synchronization of chaos #Telecommunications #Topology (electrical circuits) #Transmission (telecommunications) #nlin.CD
paper · pdf · doi:10.1140/epjst/e2008-00855-y
published as Eur. Phys. J., vol. 165, 119 (2008)
arxiv created 2008/11/18 · openalex publication_date 2008/12/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We propose a rationale for experimentally studying the intricate relationship between the rate of information transmission and synchronization level in active networks, applying theoretical results recently proposed. We consider two non-identical coupled Chua’s circuit with non-identical coupling strengths in order to illustrate the proceeding for experimental scenarios of very few data points coming from highly non-coherent coupled systems, such that phase synchronization can only be detected by methods that do not rely explicitely on the calculation of the phase. A relevant finding is to show that for the coupled Chua’s circuit, the larger the level of synchronization the larger the rate of information exchanged between both circuits. We further validate our findings with data from numerical simulations, and discuss an extension to arbitrarily large active networks.