两个相互耦合网络的同步分析

本文旨在研究具有相互作用的两个网络间的同步及其控制问题.若各自网络的耦合矩阵在两个网络的连接矩阵的作用下使网络达到外部同步,则控制器消失;反之,则设计一个控制器,使两个网络达到同步.利用Lyapunov稳定性理论我们给出了同步条件,最后通过简单的数值算例来阐述得到的理论结果,包括网络具有相同和不相同的拓扑结构两种情形.     

关于耦合网络间同步控制的一个注记

本文旨在研究具有相互作用的两个网络间的同步及其控制问题,从理论上我们证明了通过选择适当的控制项,两个网络可以达到同步．文中没有限制两个网络具有相同的动力学,针对两个网络的拓扑结构和网络问的作用矩阵,我们提出了两种自适应同步格式,最后通过数值算例来阐述我们得到的理论结果．     

复杂网络连接的Chen系统的同步化

利用Chen系统的有界性和挤压性质,提出了一种新的研究网络同步化的方法．选取以N个Chen系统作为结点的4种复杂网络(环形网络、星形双向耦合网络、小世界网络、全局耦合网络)作为研究对象,理论推导得出网络中Chen系统同步需满足的参数条件．通过比较证明了小世界网络具有易于同步和结构简单的优点,数值仿真结果与理论分析相一致．     

非线性耦合Roessler系统的相位同步化

讨论了具有1：1和1：2内共振非线性耦合系统的混沌相位同步．通过引入混沌运动的相位定义说明对于不同的内共振系统，在相对小的参数下两个子系统的平均频率差接近于0，即在弱相互作用下两个振子相位同步．随着耦合力的增加，平均频率差有波动，与1：2内共振情形相比，在主共振条件下两个子系统平均频率差的波动较小，即使在弱作用下也是如此．线性耦合力的增加增强了相位同步效应，而非线性耦合力的增加使得两个子系统由相位同步向不同步转化，且相位动力学与Liapunov的变化有关，这也可以通过扩散云图来证实．     

多层二分耦合网络的同步性研究

多层复杂网络的同步能力分析是目前网络科学研究的热点.首先根据主稳定方程(MSF)给出多层二分耦合网络的超拉普拉斯矩阵,并得到反映其同步能力的重要指标.其次分析了二分耦合网络在同步域有界和无界的两种情况下层数、二分耦合网络节点数、层间耦合强度和层内耦合强度对同步能力的影响.最后通过数值模拟和理论实践提出控制层数、二分耦合网络节点数、层间耦合强度和层内耦合强度等参数的策略,来实现优化多层二分耦合网络的同步能力,为工程技术人员在实际应用中优化其同步能力提供有效的方案.     

节点状态不同的两个耦合网络的同步

本文研究了节点动力学不同的两个耦合网络的同步,我们发现两个耦合网络之间不能达到同步,但是他们可以达到各自的同步态．利用线性化方法,我们给出了相应的定理,并用数值例子验证了理论结果．     

两个网络间的相互同步

本文研究了两个耦合网络的相互同步,利用线性化方法,我们给出了两个具有相同拓扑结构的网络实现同步的定理,最后用数值例子来验证得到的理论结果。     

非线性耦合R(o)ssler系统的相位同步化

讨论了具有1:1和1:2内共振非线性耦合系统的混沌相位同步.通过引入混沌运动的相位定义说明对于不同的内共振系统,在相对小的参数下两个子系统的平均频率差接近于0,即在弱相互作用下两个振子相位同步.随着耦合力的增加,平均频率差有波动,与1:2内共振情形相比,在主共振条件下两个子系统平均频率差的波动较小,即使在弱作用下也是如此.线性耦合力的增加增强了相位同步效应,而非线性耦合力的增加使得两个子系统由相位同步向不同步转化,且相位动力学与Liapunov的变化有关,这也可以通过扩散云图来证实.     

层间单向耦合星形圆环状网络的同步能力

多层复杂网络同步是网络科学研究的一个前沿方向,目前对多层复杂网络同步性的研究大多集中在无向多层复杂网络上,而更加贴近于实际的多层有向网络研究很少.首先根据主稳定方程(MSF)严格计算出M层层间单向耦合星形圆环状网络的超拉普拉斯矩阵的特征值谱,并得到反映M层层间单向耦合星形圆环状网络同步能力的重要指标,其次讨论了M层层间单向耦合星形圆环状网络在同步域为有界和无界的两种情况下同步能力与层数、节点数、层间耦合强度和层内耦合强度及中心节点耦合强度之间的关系.最后通过数值模拟给出了层间单向耦合星形圆环状网络同步能力的仿真图像,验证了理论结果的有效性.     

复杂动态网络的有限时间同步

复杂网络无处不在,同步是自然界中广泛存在的一类非常重要的非线性现象.过去10年,人们对复杂网络的同步开展了系统而深入的研究,包括恒等同步、广义同步、簇同步以及部分同步等.上述大部分结果中对同步速度的刻画往往是渐进的,只有当时间趋于无穷的时候,网络才能实现同步,而对于网络能够在多长时间内可以实现同步却知之甚少.作者以几类典型的非线性耦合的复杂动态网络为例,深入探讨了复杂动态网络的有限时间同步的规律.具体而言,基于上述几类典型的复杂动态网络,证明了在某些合适的条件下,网络能够在有限时间内实现精确同步.此外,用一个典型的数值仿真实例验证了上述有限时间同步的准则.有限时间同步有效地避免了网络只有在无穷时刻才能实现同步的问题,对网络同步的实际工程应用具有基本的现实意义.     

Linear generalized synchronization between two complex networks

In this paper, the linear generalized synchronization between two complex networks is investigated. Based on the Lyapunov stability theory, a simple criterion for linear generalized synchronization between two networks with the same connection topologies is attained by using the nonlinear control method, which can widen the application range of the generalized synchronization methods. The feasibility of the proposed scheme is proved in theory and numerical simulations further demonstrate the effectiveness of it.     

Generalized outer synchronization between complex dynamical networks with time delay and noise perturbation

In this paper, the generalized outer synchronization between two different delay-coupled complex dynamical networks with noise perturbation is investigated. With a nonlinear control scheme, the sufficient condition for almost sure generalized outer synchronization is developed based on the LaSalle-type invariance principle for stochastic differential equations. Numerical examples are examined to illustrate the effectiveness of the analytical results. The theoretic result is also applied to investigate the outer synchronization between two delay-coupled Hindmarsh–Rose neuronal networks with noise perturbation.     

复杂动力网络的鲁棒性同步

本文研究了扰动下复杂动力网络的同步问题. 利用输入状态稳定性分析的方法, 给出了鲁棒同步的概念, 分析了非时间延迟的和含有时间延迟动力网络的同步, 数值仿真也验证了结果的有效性.     

Synchronization in oscillator networks with coupling balance

Under the hypothesis of coupling balance, both locally and globally asymptotically synchronization of oscillator networks with nonlinear coupling in general form are studied for the first time. In order to study the globally asymptotically synchronization, we first show that the oscillator network is eventually dissipative if the uncoupled oscillators are eventual dissipative. Then in its absorbing domain, two methods developed recently are combined to study the asymptotically synchronization and two theorems are derived. Numerical simulations confirm the validity of the results.     

Quasi-projective synchronization analysis for delayed stochastic quaternion-valued neural networks via state-feedback control strategy

In this paper, we explore the complete synchronization and quasi-projective synchronization in a class of stochastic delayed quaternion-valued neural networks, utilizing a state-feedback control scheme. The studied neural networks into real-valued networks are short of known decomposing, by designing a very general nonlinear controller, according to the quaternion form It\^{o} formula with a number of inequality techniques in the configuration of quaternion domain, we obtained a quasi-projective synchronization criterion for drive-response networks. Moreover, we estimate the error margin for quasi-projective synchronization. At last, the theoretical results are confirmed by a numerical simulation.     

Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes

Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes is investigated in this paper. Based on Barbalat’s lemma, some sufficient synchronization criteria are derived by applying the nonlinear feedback control. Although previous work studied function projective synchronization on complex dynamical networks, the dynamics of the nodes are coupled partially linear chaotic systems. In our work, the dynamics of the nodes of the complex networks are any chaotic systems without the limitation of the partial linearity. In addition, each network can be undirected or directed, connected or disconnected, and nodes in either network may have identical or different dynamics. The proposed strategy is applicable to almost all kinds of complex networks. Numerical simulations further verify the effectiveness and feasibility of the proposed synchronization method. Numeric evidence shows that the synchronization rate is sensitively influenced by the feedback strength, the time delay, the network size and the network topological structure.     

Synchronization conditions for chaotic nonlinear continuous neural networks

This paper deals with the synchronization problem of a class of chaotic nonlinear neural networks. A feedback control gain matrix is derived to achieve the state synchronization of two identical nonlinear neural networks by using the Lyapunov stability theory, and the obtained criterion condition can be verified if a certain Hamiltonian matrix with no eigenvalues on the imaginary axis. The new sufficient condition can avoid solving an algebraic Riccati equation. The results are illustrated through one numerical example.     

基于终端滑模控制的扰动复杂网络的有限时间同步

本文研究了扰动的复杂网络的有限时间同步问题. 利用终端滑模控制的方法, 设计了能保证网络同步的滑模面和控制器, 得到了两个不同的复杂网络之间达到有限时间同步的充分条件. 这些理论结果推广了复杂网络同步的一些已有结论.