一类混沌神经网络的观测器广义投影同步设计

研究了混沌神经网络的广义投影同步问题.基于改进的非线性状态观测器理论和极点配置技术,设计了一种新的广义投影同步方案.该方案可以实现不同混沌神经网络之间的广义投影同步.通过对细胞神经元系统和三阶Winner-Take-All竞争型混沌神经元系统的数值仿真试验,进一步验证了所提方案的有效性.该方案具有全局性,与混沌神经网络的初始条件无关,且可以灵活地调整同步误差的收敛速度.     

基于滑模控制实现具有扇区非线性和死区输入的主从混沌系统同步

分析了一类控制输入具有扇区非线性和死区的不确定主从混沌系统的同步控制问题,设计了一个滑模变结构控制器,并从理论上证明了该控制器能够快速、有效地实现此类主从混沌系统的同步化,并且不受输入非线性、死区以及外部噪声等因素的影响,具有很强的鲁棒性.最后通过对主从Chen系统的自同步和Lü系统与Chen系统的异结构同步的仿真研究,验证了该控制器的有效性。     

一个非解析复映射的广义Julia集

推广了Michelitsch和R(o|¨)ssler所提出的由一个简单非解析映射所构造Julia集的方 法,并由推广的复映射,构造出一系列实数阶的广义Julia集(简称广义J集)．利用复变函 数理论和计算机制图相结合的实验数学的方法,对广义J集的结构和演化进行了研究,结果 表明:①广义J集的几何结构依赖于参数α、R和c;②广义J集具有对称性和分形特征; ③小数阶广义J集出现了错动和断裂,且其演化过程依赖于相角主值范围的选取．     

基于Takagi-Sugeno模糊模型的超混沌系统自适应投影同步及参数辨识

研究了不确定超混沌系统的自适应投影同步问题.基于Takagi-Sugeno（T-S）模糊模型,设计了一种自适应模糊控制器和参数更新规则.利用Lyapunov稳定性理论,证明了所提方案可以实现不确定超混沌系统的投影同步,并同时辨识出未知的系统参数.通过对超混沌Lorenz系统的数值仿真实验进一步验证了所提方案的有效性. 关键词： Takagi-Sugeno模糊模型 自适应 投影同步 超混沌     

Variations of the epidemic distribution with some characteristic parameters

Considering the epidemic spread among a population of mobile agents which can get infected and maintain the infection for a period, we investigate the variation of the homogeneity of the epidemic distribution with the remaining time of infection τ, the velocity modulus of the agent v, and the infection rate α. We find that the distribution of the infected cluster size is always exponential. By analyzing the variation of the characteristic infected cluster size coefficient, we show that, the inhomogeneity of the epidemic distribution increases with the increase of τ for very low v, while decreases with the increase of τ for moderate v. And the epidemic distribution tends to a homogeneous state as both v and α increase.     

An effective fractal image compression algorithm based on plane fitting

A new method using plane fitting to decide whether a domain block is similar enough to a given range block is proposed in this paper. First, three coefficients are computed for describing each range and domain block. Then, the best-matched one for every range block is obtained by analysing the relation between their coefficients. Experimental results show that the proposed method can shorten encoding time markedly, while the retrieved image quality is still acceptable. In the decoding step, a kind of simple line fitting on block boundaries is used to reduce blocking effects. At the same time, the proposed method can also achieve a high compression ratio.     

带时滞的二元神经元网络的OPNCL控制和复杂网络的时间延迟反馈控制

针对一种带时滞的二元神经元网络和一种复杂网络的混沌控制问题,利用开环加非线性闭环(Open Plus Nonlinear Closed Loop,OPNCL)方法和时间延迟反馈控制(Time Delay FeedbackControl,TDFC)方法,分别设计了该混沌网络和混沌系统的控制器。从理论上证明了第一种控制器可使该网络系统的解稳定地传递到选定的目标,并通过数值模拟实验进一步验证了两种方法的有效性。结果表明:该方法避免了开环加非线性闭环控制的一些限制因素;对于任何目标,所控制混沌系统的传递域(Basins of Entrainment)是全局的,避免了有关确定传递域范围的繁琐计算。     

中国农村居民消费类型及其特征对应分析

本文采用多元统计中的星座聚类分析与对应分析方法，对中国农村居民的消费类型进行了划分，得到了我国不同地区、不同时期农村居民的消费对应特征，为科学把握农村居民消费规律提供了依据。     

Synchronously scrambled diffuse image encryption method based on a new cosine chaotic map

We present a new cosine chaotic mapping proved by chaos theory test and analysis such that the system has good cryptography properties, wide chaos range, simple structure, and good sensitivity to initial value, and the mapping can meet the needs of chaotic image encryption. Based on the cosine chaotic system, we propose a new encryption method. First, according to the cyclic characteristics of the mapping, the cyclic information wave is simulated. Second, the quasi-Doppler effect is used to synchronously scramble and diffuse the image to obfuscate the original pixel. Finally, the XOR diffusion of image pixels is carried out by information wave to further enhance the encryption effect. Simulation experiment and security analysis show that the algorithm has good security, can resist the common attack mode, and has good efficiency.     

Rössler混沌系统的追踪控制

基于离散线性系统的稳定性理论,提出了R