具有多重权值的时滞复杂网络固定时间同步问题研究

文章研究了基于非周期间歇性控制的具有多重权值和耦合时滞的复杂网络固定时间同步问题.通过构建具有多重权值的复杂网络模型,并基于固定时间稳定性引理和矩阵理论,给出了实现复杂网络固定时间同步的充分条件.此外,文章设计了固定时间非周期切换控制器,获得了实现复杂网络同步的时间上界的估计值.结论证明了实现网络同步的时间与网络的初始状态无关,最后数值模拟说明了理论结果的正确性和有效性.     

基于事件触发的模糊网络时滞系统的容错控制

本文针对一类模糊网络时滞系统,提出了一种事件触发控制方法。首先应用平行分布补偿算法(PDC)和平均驻留时间方法,给出了模糊网络时滞系统控制器的容错设计方法;在此基础上,应用Lyapunov函数理论以及线性矩阵不等式(LMIs)方法,证明了的模糊网络时滞系统指数稳定性。最后仿真结果进一步验证了所提出方法的有效性。     

一类单时滞线性系统的模糊变结构控制

研究了一类单时滞线性系统变结构控制律的设计方法,基于模糊T-S模型把一类单时滞线性系统化为若干个时滞子系统,然后对时滞子系统设计变结构控制律,取全局控制作为系统的控制律,从而达到对单时滞线性系统系统进行控制的目的,给出了单时滞系统的滑模稳定的条件.仿真表明控制策略的有效性.     

具有变时滞耦合部分非恒定节点复杂网络的同步(英文)

主要研究了带有时变耦合部分且非恒定节点含有变时滞复杂网络的同步问题.利用Lyapunov函数理论,设计有效的控制函数并获得一些简单的同步准则,使得属于不同簇的复杂网络能同步到任意光滑的状态.最后给以一数值仿真的例子验证了该理论的有效性.     

具有时滞和非时滞耦合的复杂动态网络的自适应同步

对于同时具有时滞耦合和非时滞耦合的复杂动态网络,以时滞动力系统的稳定性理论为基础,设计了全新的自适应控制器,同时给出了一些简单而又一般的网络同步化准则.对由三个节点组成的动态网络的同步化进行了数值模拟,使得理论分析与数值模拟得到了相互验证.     

互联网双时滞TCP-RED模型Hopf分岔和Fold分岔的数值分析

利用时滞动力学分析软件DDE-BIFTOOL研究了时滞互联网TCP-RED拥塞控制模型的动力学.传输时滞τ_1可以使得该系统发生Hopf分岔、Fold分岔,使得平均队列长度和到达速率出现近似恒速运动或周期波动,揭示了时滞对其动力学的重要影响.     

一类具有时滞的商业周期模型的分支控制

应用一种基于时滞反馈的分支控制方法,对一类具有时滞的商业周期模型的Hopf分支进行了控制.以时滞作为分支参数,当时滞达到某个阈值时,无控系统失去稳定性,Hopf分支产生:将时滞反馈控制器引入无控系统,可以使Hopf分支延迟发生或消失.数值仿真的结果验证了该方法的有效性.     

一类具有时滞的商业周期模型的分支控制北大核心

应用一种基于时滞反馈的分支控制方法,对一类具有时滞的商业周期模型的Hopf分支进行了控制.以时滞作为分支参数,当时滞达到某个阈值时,无控系统失去稳定性,Hopf分支产生:将时滞反馈控制器引入无控系统,可以使Hopf分支延迟发生或消失.数值仿真的结果验证了该方法的有效性.     

一类具有状态及控制滞后的不确定系统的时滞相关鲁棒H∞控制

讨论了一类同时具有状态时滞与输入时滞的不确定系统的时滞相关鲁棒H∞控制问题．借助于积分不等式，用线性矩阵不等式方法获得了系统时滞相关与时滞导数相关的鲁棒H∞控制器的设计方法．不需要对原系统进行模型变换．     

时变时滞复杂网络的自适应定积分比例函数投影同步（英文）

基于定积分比例函数,研究了时变时滞复杂网络的自适应投影同步问题.本文讨论的比例函数投影同步,比例函数不仅是定积分,而且定积分的上下积分和时变时滞都是自适应的.数值仿真验证了这种方法的有效性.     

An intriguing hybrid synchronization phenomenon of two coupled complex networks

This paper investigates the hybrid synchronization problem of two coupled complex networks. Employing the linear feedback and the adaptive feedback control methods which are simple, efficient, and easy to implement in practical applications, we obtain some useful criteria of the hybrid synchronization of two coupled networks based on the Lyapunov stability theory and Lasalle’s invariance principle. It shows that under suitable conditions, two coupled complex networks can realize an intriguing hybrid synchronization: the outer anti-synchronization between the driving network and the response network, and the inner complete synchronization in the driving network and the response network, respectively. Numerical simulations demonstrate the effectiveness of the proposed hybrid synchronization scheme.     

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.     

ADAPTIVE PINNING SYNCHRONIZATION OF COUPLED NEURAL NETWORKS WITH MIXED DELAYS AND VECTOR-FORM STOCHASTIC PERTURBATIONS＊

In this article,we consider the global chaotic synchronization of general coupled neural networks,in which subsystems have both discrete and distributed delays.Stochastic perturbations between subsyste...     

Synchronization of a growing chaotic network model

Synchronization in large ensembles of coupled interacting units is a fundamental phenomenon, which is helpful for the understanding of working mechanisms in neuronal networks, social network, etc. In this paper, we will investigate the synchronization phenomenon in a network model. A feedback control scheme is proposed for the synchronization of the given complex networks. The obtained result indicates that synchronization can be achieved for growing chaotic network model. Method enhance the synchronizability of the given model are given at the same time. Finally, numerical simulations are given to show the effectiveness of obtained results.     

Lag synchronization of complex networks via pinning control

This paper mainly investigates the lag synchronization of complex networks via pinning control. Without assuming the symmetry and irreducibility of the coupling matrix, sufficient conditions of lag synchronization are obtained by adding controllers to a part of nodes. Particularly, the following two questions are solved: (1) How many controllers are needed to pin a coupled complex network to a homogeneous solution? (2) How should we distribute these controllers? Finally, a simple example is provided to demonstrate the effectiveness of the theory.     

Generalized outer synchronization between non-dissipatively coupled complex networks with different-dimensional nodes

This paper investigates the generalized outer synchronization (GOS) between two non-dissipatively coupled complex dynamical networks (CDNs) with different time-varying coupling delays. Our drive-response networks also possess nonlinear inner coupling functions and time-varying outer coupling configuration matrices. Besides, in our network models, the nodes in the same network are nonidentical and the nodes in different networks have different state dimensions. Asymptotic generalized outer synchronization (AGOS) and exponential generalized outer synchronization (EGOS) are defined for our CDNs. Our main objective in this paper is to design AGOS and EGOS controllers for our drive-response networks via the open-plus-closed-loop control technique. Distinguished from most existing literatures, it is the partial intrinsic dynamics of each node in response network that is restricted by the QUAD condition, which is easy to be satisfied. Representative simulation examples are given to verify the effectiveness and feasibility of our GOS theoretical results in this paper.     

Synchronization of quaternion-valued coupled systems with time-varying coupling via event-triggered impulsive control

In this paper, the problem of exponential synchronization of quaternion-valued coupled systems based on event-triggered impulsive control is investigated for the first time. It should be pointed out that the coupling strength is quaternion-valued and time-varying, which makes our model more in line with practical models. First, we prove that event-triggered impulsive control can exclude Zeno behavior. Then, based on the Lyapunov method and the graph theory, some sufficient conditions are derived to ensure that quaternion-valued coupled systems reach synchronization. Furthermore, as an application of our theoretical results, exponential synchronization of quaternion-valued Kuramoto oscillators is studied in detail and a synchronization criterion is presented. Finally, some numerical simulations are given to show the effectiveness of our theoretical results.     

Adaptive cluster synchronization in networks with time-varying and distributed coupling delays

This paper studies the adaptive cluster synchronization of a generalized linearly coupled network with time-varying delay and distributed delays. This network includes nonidentical nodes displaying different local dynamical behaviors, while for each cluster of that network the internal dynamics is uniform (such as chaotic, periodic, or stable behavior). In particular, the generalized coupling matrix of this network can be asymmetric and weighted. Two different adaptive laws of time-varying coupling strength and a linear feedback control are designed to achieve the cluster synchronization of this network. Some sufficient conditions to ensure the cluster synchronization are obtained by using the invariant principle of functional differential equations and linear matrix inequality (LMI). Numerical simulations verify the efficiency of our proposed adaptive control method.     

Robust synchronization of FitzHugh–Nagumo network with parameter disturbances by sliding mode control

In this paper, based on the sliding mode control method, the robust synchronization for a coupled FitzHugh–Nagumo (FHN) neurobiological network with parameter disturbances is investigated. Some theoretical criteria are derived to realize the robust synchronization of the FHN network with disturbed parameters, and the synchronization occurs without dependence on the type and magnitude of the noise, which greatly extend some existing results for two or three coupled FHN neurons. Finally, a numerical example is given to illustrate the effectiveness of the proposed theoretical results.     

Synchronization for stochastic hybrid coupled controlled systems with Lévy noise

In this paper, synchronization for stochastic hybrid-delayed coupled systems with Lévy noise on a network (SHDCLN) is investigated via aperiodically intermittent control. Here time delays, Markovian switching and Lévy noise are considered on a network simultaneously for the first time. After that, by means of Lyapunov method, graph theory, and some techniques of inequality, some sufficient conditions are derived to guarantee the synchronization for SHDCLN. In addition, the designed range of aperiodically intermittent controller parameters is shown. Meanwhile, the coupling strength and the perturbed intensity of noise have a great impact on the intensity of control. Then, we investigate synchronization for stochastic hybrid delayed Chua's circuits with Lévy noise on a network as a practical application of our theoretical results. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.