Dynamics of adaptive network with connection delay and external stimulus

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
S. Thamizharasan , V.K. Chandrasekar , M. Senthilvelan , D.V. Senthilkumar
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引用次数: 0

Abstract

We consider an adaptive network of identical Kuramoto oscillators with connection delay and external stimulus. We show that the adaptive network exhibits a rich variety of dynamical states, including antipodal, solitary, double antipodal, splay, multi-cluster, synchronized and force entrained states in the phase diagrams. In particular, we elucidate the delay induced double antipodal state in the adaptive network in the absence of the phase lag parameter. Further, we observe the solitary state in the globally coupled adaptive network for the first time in the literature. We corroborate the dynamical state and elucidate their dynamical transitions using the Kuramoto order parameters and the strength of incoherences. We also show that the network exhibits a rich variety of multistable states as a function of the system parameters. We also elucidate that the distance dependent delay facilitates the manifestation of similar dynamical states as that of the constant delay. Further, we show that the stability condition for the forced entrained state turns out to be the existence condition for the same, which agrees well with the simulation results.
具有连接延迟和外部刺激的自适应网络动力学
研究了具有连接延迟和外部刺激的相同Kuramoto振子自适应网络。我们发现自适应网络在相图中表现出丰富的动态状态,包括对映态、孤态、双对映态、张开态、多簇态、同步态和夹带力态。特别地,我们解释了在没有相位滞后参数的自适应网络中延迟引起的双对映状态。此外,我们在文献中首次观察到全局耦合自适应网络中的孤立状态。我们利用Kuramoto序参数和非相干强度确证了它们的动态状态,并阐明了它们的动态跃迁。我们还表明,作为系统参数的函数,网络表现出丰富多样的多稳定状态。我们还阐明了距离相关延迟有助于表现出与恒定延迟相似的动态状态。进一步证明了强制夹带状态的稳定条件是其存在条件,与仿真结果吻合较好。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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