کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
758108 1462620 2015 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Novel coupling scheme to control dynamics of coupled discrete systems
ترجمه فارسی عنوان
طرح ریزی اتصالات برای کنترل پویایی سیستم های مجزا
کلمات کلیدی
کنترل دینامیک، مرگ معکوس، کیمرا، شبکه نقشه همجوار، شبکه تصادفی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی


• A scheme is proposed to control spatio-temporal dynamics in coupled discrete systems.
• The control system is spatially extended and external to the system dynamics.
• The scheme is demonstrated for control of chimera states and neuronal dynamics.

We present a new coupling scheme to control spatio-temporal patterns and chimeras on 1-d and 2-d lattices and random networks of discrete dynamical systems. The scheme involves coupling with an external lattice or network of damped systems. When the system network and external network are set in a feedback loop, the system network can be controlled to a homogeneous steady state or synchronized periodic state with suppression of the chaotic dynamics of the individual units. The control scheme has the advantage that its design does not require any prior information about the system dynamics or its parameters and works effectively for a range of parameters of the control network. We analyze the stability of the controlled steady state or amplitude death state of lattices using the theory of circulant matrices and Routh–Hurwitz criterion for discrete systems and this helps to isolate regions of effective control in the relevant parameter planes. The conditions thus obtained are found to agree well with those obtained from direct numerical simulations in the specific context of lattices with logistic map and Henon map as on-site system dynamics. We show how chimera states developed in an experimentally realizable 2-d lattice can be controlled using this scheme. We propose this mechanism can provide a phenomenological model for the control of spatio-temporal patterns in coupled neurons due to non-synaptic coupling with the extra cellular medium. We extend the control scheme to regulate dynamics on random networks and adapt the master stability function method to analyze the stability of the controlled state for various topologies and coupling strengths.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 25, Issues 1–3, August 2015, Pages 50–65
نویسندگان
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