کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8254394 1533634 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Synchronization in a network of delay coupled maps with stochastically switching topologies
ترجمه فارسی عنوان
هماهنگ سازی در یک شبکه از نقشه های تاخیری همراه با توپولوژی های سوئیچ تصادفی
کلمات کلیدی
تکمیل نقشه همراه، سوئیچینگ توپولوژی، ماتریس گردش خون، هماهنگ سازی،
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک آماری و غیرخطی
چکیده انگلیسی
The synchronization behavior of delay coupled chaotic smooth unimodal maps over a ring network with stochastic switching of links at every time step is reported in this paper. It is observed that spatiotemporal synchronization never appears for nearest neighbor connections; however, stochastic switching of connections with homogeneous delay (τ) is capable of synchronizing the network to homogeneous steady state or periodic orbit or synchronized chaotically oscillating state depending on the delay parameter, stochasticity parameter and map parameters. Most interestingly, linear stability analysis of the synchronized state is done analytically for unit delay and the value of the critical coupling strength, at which the synchronization occurs is determined analytically. The logistic map rx(1−x) (a smooth unimodal map) is chosen for numerical simulation purpose. It is found that synchronized steady state or synchronized period-2 orbit is stabilized for delay τ=1 depending upon the nature of the local map. On the other hand for delay τ=2 the network is stabilized to the fixed point of the local map. Numerical simulation results are in good agreement with the analytically obtained linear stability analysis results. Another interesting observation is the existence of synchronized chaos in the network for delay τ > 2. Calculating synchronization error and plotting time series data and Poincare first return map and largest Lyapunov exponent the existence of synchronized chaos is confirmed. The results hold good for other smooth unimodal maps also.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chaos, Solitons & Fractals - Volume 91, October 2016, Pages 9-16
نویسندگان
, ,