耦合映像格子中时空混沌的状态反馈控制

利用状态反馈的方法，实现了耦合映像格子中时空混沌的稳定控制.反馈方式可以是没有延迟的，也可以是有延迟的；控制方式可以是连续的，也可以是脉冲的.数值模拟结果证明了状态反馈方法的有效性. 关键词： 耦合映像格子 时空混沌 状态反馈控制     

Excitation Properties of the Biological Neurons with Side-Inhibition Mechanism in Small-World Networks

We have studied the excitation properties of biophysical Hodgkin-Huxley neurons with the side-inhibition mechanism in small-world networks. The result shows that the excitation properties in the networks are preferably consistent with the characteristic properties of a brain neural system under external constant stimuli, such as fatigue effect, extreme excitation principle, and the brain neural excitation response induced by different in- tensity of noise and coupling. The results of the study might shed some light on the study of the brain nerve electrophysiology and epistemological science.     

Topological Properties of Urban Public Traffic Networks in Chinese Top-Ten Biggest Cities

We investigate the topological characteristics of complex networks as exemplified by the urban public traffic network （UPTN） in Chinese top-ten biggest cities. It is found that the UPTNs have small world behaviour, by the examination of their topological parameters. The quantitative analysis of the transport efficiency of the UPTNs reveals their higher local efficiency El and lower global efficiency Eg, which coincide well with the status quo of those Chinese cities still at their developing stage. Furthermore, the topological properties of efficiency in the UPTNs are also examined, and the findings indicate that, on the one hand, the UPTNs show robustness to random attacks and frangibility to malicious attacks on a global scale; on the other hand, the interrelation between UPTN efficiency and network motifs deserves our attention. The motifs which interrelate the UPTN efficiency are always triangular-formed patterns, e.g. motifs ID 238, ID 174 and ID 102, etc.     

Synchronizing Complex Networks by an Adaptive Adjustment Mechanism

We propose an adaptive adjustment mechanism for synchronizing complex networks, in particular for sociological or/and biological systems. We do not take it for granted that a dynamical system is put on isolated nodes and they are coupled with each other by one （or more） variable（s）, as employed in most previous models. As a replacement, we suppose that each node may have any finite number of possible states, and their evolutions with time are determined by their nearest-neighbouring （or even second-nearest-neighbouring, etc） nodes in an adaptive adjustment mechanism. It is found that synchronization can be achieved for almost all connected networks and that the scale-free property can evidently improve the synchronizing speed.     

可逆保面积映象同周期分歧的解析研究

从可逆保面积映象偶周期轨道线性Jacobi矩阵的一般结构,讨论了对称周期轨道的两种分歧行为。给出可逆保面积映象的同周期分歧条件及区分三种同周期分歧类型的解析判据。以De Vogelaere映象的实例说明了解析方法的应用。 关键词：     

基于神经网络自适应控制线性功率放大器的设计

基于人造神经网络提出一种算法,该算法的一般特征可绘制功率放大器响应多项式的最佳系数,作为放大器的预失真器输入信号,描述了整个控制过程每一步的初始值的设定和功能。利用该方法通过对一个实际的装有对等预失真电路的功率放大器测试,测试结果表明这种方法的可行性,很适合这类功率放大器的设计。     

Networks Emerging from the Competition of Pullulation and Decrepitude

In real-world network evolution, the aging effect is universal. We propose a microscopic model for aging networks,which suggests that the activity of a vertex is the result of the competition of two factors: pullulatlon and decrepitude. By incorporating the pullulation factor into previous models of aging networks, both the global and individual aging effect curves in our model are single peaked, which agrees with the empirical data well. This model can generate networks with scale-free degree distribution, large clustering coefficient and small average distance when the decrepitude intensity is small and the network size not very large. The results of our model show that pullulation may be one of the most important factors affecting the structure and function of aging networks and should not be neglected at all.     

一种基于三阶Volterra滤波器的混沌时间序列自适应预测方法

基于Takens的相空间延迟坐标重构,研究了用于混沌信号预测的三阶Volterra滤波器的一种乘积耦合近似实现结构,并应用于典型的低维混沌时间序列和具有高维混沌特性的EEG信号的预测.数值研究表明:这种滤波器结构对于低维混沌时间序列的预测精度可以比二阶Volterra滤波器提高103倍,而且能够较好地对一些具有高维混沌特性的EEG信号进行预测 关键词： 混沌 非线性自适应预测 三阶Volterra滤波器 electroencephalography信号     

光滑抛物线约束质点运动问题的研究

利用非线性动力学的原理和方法，通过对不动点类型的分析，数值计算给出所研究系统的相图，从而得出质点在不同条件下的运动情况．     

逾渗模型与复杂网络

 将一个疏松多孔的材料放入水中, 水能否渗入材料中呢? 1957年, 布鲁德本特(Broadbent)和哈默斯利(Hammersley)给出了一个简单的模型用以讨论这个问题, 即所谓的逾渗模型(percolation model)。如图1所示, 他们的模型建立在一个二维的方格子上。模型中的节点表示材料中的空隙。为了模拟材料中空隙的连通, 假设方格子中相邻节点(每个节点有四个邻居)以概率p(0<p<1)相连。模型中, 一对相邻节点相连称为占据相应的边。如图1所示, 如果只标出占据边, 原系统就被分为若干个由占据边连接的节点集团, 一般称为连通集团。一个连通集团中的节点数称为该集团的大小。如果水能渗入材料中, 模型中必然会有一个与原系统大小相当的连通集团贯穿整个二维格子, 这样的集团一般称为巨分量(giant component)。这样, 水能否渗入材料的问题就简化为占据概率p与巨分量存在性的关系问题。