共查询到20条相似文献,搜索用时 31 毫秒
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为有效地模拟病毒在适应网络中的传播,分析了当前适应网络病毒传播研究的现状,结合适应网络中存在的节点动力学和网络动力学相互作用、相互反馈的机制,提出了一种基于计算机仿真技术的适应网络病毒传播的SIS(susceptibleinfected-susceptible)离散模型.通过对所建模型进行仿真和分析,实验结果表明,病毒在适应网络中传播具有双稳态性;由于节点规避病毒传播而改变网络连接的行为,使得网络的度分布发生变化,该行为对病毒在网络中的传播具有抑制作用. 相似文献
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Ye Wu Mingjie Li Jinghua Xiao Mehmet A. Orgun Liyin Xue 《New Generation Computing》2014,32(3-4):193-211
This paper proposes a novel model combining an epidemic dynamics and an opinion dynamics to investigate the impact of epidemic-related opinion dynamics on the spreading of infectious diseases in complex networks. We assume that, the outcomes of opinion dynamics on the behavior of asymptomatically infected individuals who have known their infected state, could not only reduce their transmission probabilities, but also could increase their transmission probabilities. This assumption has rarely been considered for modeling the interactions among epidemic dynamics, opinion dynamics and the exchange of human behaviors. We find that when the epidemic-related opinion dynamics exist, a higher randomness of individuals will simultaneously lead to a higher prevalence of infectious diseases and a lower social discrimination perceived by infected individuals. Furthermore, if the positive external global impact exceeds a certain critical value, there is an abrupt disappearance of infection owing to the contribution of opinion dynamics. Based on our results, some suggestions are given to reduce the spreading of epidemic diseases. 相似文献
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Guaranteed‐cost consensus for multiagent networks with Lipschitz nonlinear dynamics and switching topologies
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Guaranteed‐cost consensus for high‐order nonlinear multiagent networks with switching topologies is investigated. By constructing a time‐varying nonsingular matrix with a specific structure, the whole dynamics of multiagent networks is decomposed into the consensus and disagreement parts with nonlinear terms, which is the key challenge to be dealt with. An explicit expression of the consensus dynamics, which contains the nonlinear term, is given and its initial state is determined. Furthermore, by the structure property of the time‐varying nonsingular transformation matrix and the Lipschitz condition, the impacts of the nonlinear term on the disagreement dynamics are linearized, and the gain matrix of the consensus protocol is determined on the basis of the Riccati equation. Moreover, an approach to minimize the guaranteed cost is given in terms of linear matrix inequalities. Finally, the numerical simulation is shown to demonstrate the effectiveness of theoretical results. 相似文献
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Delay-dependent state estimation for delayed neural networks 总被引:3,自引:0,他引:3
Yong He Qing-Guo Wang Min Wu Chong Lin 《Neural Networks, IEEE Transactions on》2006,17(4):1077-1081
In this letter, the delay-dependent state estimation problem for neural networks with time-varying delay is investigated. A delay-dependent criterion is established to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable. The proposed method is based on the free-weighting matrix approach and is applicable to the case that the derivative of a time-varying delay takes any value. An algorithm is presented to compute the state estimator. Finally, a numerical example is given to demonstrate the effectiveness of this approach and the improvement over existing ones. 相似文献
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Pinning weighted complex networks with heterogeneous delays by a small number of feedback controllers 总被引:3,自引:0,他引:3
Weighted complex dynamical networks with heterogeneous delays in both continuous-time and discrete-time domains are controlled by applying local feedback injections to a small fraction of network nodes. Some generic stability criteria ensuring delay-independent stability are derived for such controlled networks in terms of linear matrix inequalities (LMIs), which guarantee that by placing a small number of feedback controllers on some nodes the whole network can be pinned to some desired homogenous states. In some particular cases, a single controller can achieve the control objective. It is found that stabilization of such pinned networks is completely determined by the dynamics of the individual uncoupled node, the overall coupling strength, the inner-coupling matrix, and the smallest eigenvalue of the coupling and control matrix. Numerical simulations of a weighted network composing of a 3-dimensional nonlinear system are finally given for illustration and verification. 相似文献
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This paper is concerned with the event-triggered distributed state estimation problem for a class of uncertain stochastic systems with state-dependent noises and randomly occurring uncertainties over sensor networks. An event-triggered communication scheme is proposed in order to determine whether the measurements on each sensor should be transmitted to the estimators or not. The norm-bounded uncertainty enters into the system in a random way. Through available output measurements from not only the individual sensor but also its neighbouring sensors, a sufficient condition is established for the desired distributed estimator to ensure that the estimation error dynamics are exponentially mean-square stable. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities, and then the explicit expression is given for the distributed estimator gains. Finally, a simulation example is provided to show the effectiveness of the proposed event-triggered distributed state estimation scheme. 相似文献
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在社会网络中, Hegselmann-Krause模型描述了置信阈值内不同邻居对个体的观点影响权重都相同且邻居对个体的吸引力与它们的观点差值成正比, 这是不切实际的. 为了克服经典Hegselmann-Krause模型的不足, 提出具有类万有引力的有界置信观点动力学模型, 描述个体观点的更新依赖于观点之间的差值和邻居的权威性, 且不同邻居对个体的观点影响权重不同. 根据置信矩阵的性质证明观点的收敛性, 并分析具有衰减置信阈值的观点动力学行为, 给出观点收敛速率的显式解. 最后, 利用提出的观点动力学模型, 研究社会心理学中的“权威效应”和“非零和效应”. 仿真结果表明, 邻居的权威性有利于观点达成一致. 相似文献
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信任是连接人与人之间复杂社交关系的桥梁。通过网络分层机制将个体信任水平动态转变策略与社交网络上信息动态传播过程分层研究,从两个网络层节点独立传播和交互影响角度来研究个体信任水平博弈对信息传播过程的影响,改进了单层网路研究的局限性。两层网络节点符合层内独立传播、层间相互影响的规则。信任层节点的传播采用博弈演化动力学方法来处理,信息传播层节点传播则符合流行病动力学SIR传播模型,但其受信任层信任因子的影响。并且文中给出了DTM-SIR模型各层元素动态变化的具体分析过程,通过实例仿真表明信任层的引入对信息传播扩大化影响具有积极的意义。 相似文献
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Controllability and observability of Boolean control networks 总被引:3,自引:0,他引:3
The controllability and observability of Boolean control networks are investigated. After a brief review on converting a logic dynamics to a discrete-time linear dynamics with a transition matrix, some formulas are obtained for retrieving network and its logical dynamic equations from this network transition matrix. Based on the discrete-time dynamics, the controllability via two kinds of inputs is revealed by providing the corresponding reachable sets precisely. Then the problem of observability is also solved by giving necessary and sufficient conditions. 相似文献
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本文研究了概率布尔控制网络的弱能控性,系统的弱能控性是概率布尔网络精确能控的一个推广.首先利用矩阵的半张量积和逻辑变量的向量表示,概率布尔控制网络被表示为离散时间动态系统.接着给出概率布尔控制网络弱能控的定义,从离散时间系统的结构矩阵出发,构造了最大概率转移矩阵,矩阵中的元素表示相应状态之间可能发生转移的最大概率,在此基础上研究了概率布尔控制网络的弱能控的条件,同时给出了两个状态弱能达时控制序列的设计算法.最后通过例子进一步解释了弱能控的概念和控制序列设计算法的有效性. 相似文献
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In this paper, synchronization of a complex dynamical network (CDN) is investigated while the coupling connections of the network exhibit dynamic behavior. As it is shown in simulations, the dynamic links can cause synchronization losing in the network whereas the links in many real‐world CDNs have dynamic behavior. To analyzing the effect of these links, two different CDN models are considered: without time delays and with delays in the coupling connections. By means of Lyapunov(‐Krasovskii) theory, stability analysis of the error dynamics between the nodes of these CDNs and an introduced individual node is investigated which yields some conditions in the form of linear matrix inequalities (LMIs). These LMIs can be solved easily by various existing LMI solvers. Moreover, the gain matrices of state feedback controllers will be obtained by solving the LMIs. In the end, illustrative numerical examples are given to specify the effectiveness of the proposed method. 相似文献
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Potential Fields for Maintaining Connectivity of Mobile Networks 总被引:1,自引:0,他引:1
The control of mobile networks of multiple agents raises fundamental and novel problems in controlling the structure of the resulting dynamic graphs. In this paper, we consider the problem of controlling a network of agents so that the resulting motion always preserves the connectivity property of the network. In particular, the connectivity condition is translated to differentiable constraints on individual agent motion by considering the dynamics of the Laplacian matrix and its spectral properties. Artificial potential fields are then used to drive the agents to configurations away from the undesired space of disconnected networks while avoiding collisions with each other. We conclude by illustrating a class of interesting problems that can be achieved while preserving connectivity constraints. 相似文献
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Trofino A. Assmann D. Scharlau C.C. Coutinho D.F. 《Automatic Control, IEEE Transactions on》2009,54(9):2215-2222
In this paper, we propose a method for designing switching rules that drive the state of the switched dynamic system to a desired equilibrium point. The method deals with the class of switched systems where each mode of operation is represented by a dynamical system with an affine vector field. The results are given in terms of linear matrix inequalities and they guarantee global asymptotic stability of the tracking error dynamics. Switching rules based on complete and partial state measurements are proposed. The case of uncertain polytopic systems is also considered and a numerical example illustrates the approach. 相似文献
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Mingjun Du Baoli Ma Deyuan Meng 《International Journal of Control, Automation and Systems》2020,18(2):271-281
This paper copes with distributed control problems for signed networks that consist of a group of nonlinear agents. A distributed control algorithm is designed by using the nearest neighbor rule. For Lipschitz-type nonlinear dynamics, this algorithm guarantees structurally balanced signed networks to achieve bipartite consensus and structurally unbalanced signed networks to reach state stability, respectively. When bounded nonlinear dynamics are considered, all agents exponentially converge to a definite bound within a finite time, regardless of whether the signed networks are structurally balanced or structurally unbalanced. A Lyapunov approach is simultaneously exploited to carry out the dynamic behaviors analysis of signed networks. Four examples are provided to demonstrate the validity of the developed theoretical results. 相似文献
19.
Jiantao Shi Xiao He Zidong Wang Donghua Zhou 《Journal of Intelligent and Robotic Systems》2014,73(1-4):655-664
In this paper, the problem of leader-following consensus for a class of multi-agent systems with double integrator dynamics is investigated based on an iterative learning approach. Consensus errors of individual agents are considered as the anticipation in time, based on which a distributed iterative learning protocol is proposed for the undirected networks with fixed topology to make the followers track the leader in finite time. The dynamic of the leader is assumed to be time-varying and the state information is available to only a portion of the followers. The sufficient condition for solving the consensus problem of the multi-agent system is obtained. A simulation example is provided to demonstrate the effectiveness of the proposed method. 相似文献
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基于自适应动态规划的一类带有时滞的离散时间非线性系统的最优控制策略 总被引:4,自引:3,他引:1
针对一类状态和控制变量均带有时滞的非线性系统的带有二次性能指标函数最优控制问题, 本文提出了一种基于新的迭代自适应动态规划算法的最优控制方案. 通过引进时滞矩阵函数, 应用动态规划理论, 本文获得了最优控制的显式表达式, 然后通过自适应评判技术获得最优控制量. 本文给出了收敛性证明以保证性能指标函数收敛到最优. 为了实现所提出的算法, 本文采用神经网络近似性能指标函数、计算最优控制策略、求解时滞矩阵函数、以及给非线性系统建模. 最后本文给出了两个仿真例子说明所提出的最优策略的有效性. 相似文献