A general method for modified function projective synchronization

This paper investigates the modified function projective synchronization,which means that the drive system and the response system are synchronized up to a desired scale matrix of function. By the active control scheme,a general method for modified function projective synchronization is proposed. Numerical simulations on chaotic Rssler system and hyper-chaotic Chen system are presented to verify the effectiveness of the proposed scheme.     

OFDM系统相关矩阵的分块结构及同步算法

根据载波加权可增强OFDM系统周期平稳性,实现系统盲同步的基本原理,分析了OFDM系统相关矩阵的分块结构,给出相应系统的盲同步算法.该方法通过检测相关矩阵的分块Toep litz矩阵结构,实现系统定时和载频偏差的估计.同时,在特定系统同步性能交换误码率的情况下通过分析载波加权、系统误码率和载频同步误差之间的互相制约关系,进一步给出了载波加权的确定方法.实验仿真结果表明,采用分块相关矩阵的同步方案与采用循环谱的同步方案相比,可获得更好的系统载频和定时同步效果.     

Support vector machine forecasting method improved by chaotic particle swarm optimization and its application

By adopting the chaotic searching to improve the global searching performance of the particle swarm optimization (PSO), and using the improved PSO to optimize the key parameters of the support vector machine (SVM) forecasting model, an improved SVM model named CPSO-SVM model was proposed. The new model was applied to predicting the short term load, and the improved effect of the new model was proved. The simulation results of the South China Power Market’s actual data show that the new method can effectively improve the forecast accuracy by 2.23% and 3.87%, respectively, compared with the PSO-SVM and SVM methods. Compared with that of the PSO-SVM and SVM methods, the time cost of the new model is only increased by 3.15 and 4.61 s, respectively, which indicates that the CPSO-SVM model gains significant improved effects. Foundation item: Project(70572090) supported by the National Natural Science Foundation of China     

Synchronization and channel estimation for MIMO OFDM wireless LAN systems

A new preamble structure is designed for wireless LAN based on MIMO OFDM systems, which can be used for both synchronization and channel estimation. Modulatable orthogonal polyphase sequence is utilized in training symbol design regarding its correlation properties. The time synchronization and channel estimation are achieved by measuring the correlation between the received training sequence and the locally generated training sequence. Repeated training symbols are used to get carrier frequency offset (CFO) estimation. It is shown from the analysis that the accuracy of frequency synchronization is close to the Cramér-Rao lower bound. The training sequences are optimal for channel estimation based on the minimum mean square error (MMSE).     

Chaotic characteristics of electromagnetic emission signals during deformation and fracture of coal

Electromagnetic emission (EME) is a kind of physical phenomenon accompanying the process of deformation and frac-ture of loaded coal and rock and it is of importance in quantitatively analyzing its characteristics. This will reveal the process of deformation and fracture of coal and predicting dynamic disasters in coal mines. In this study, the G-P (Grassberger and Procaccia) algorithm, calculation steps of the (if only 1 dimension) correlation dimension of time series and the identification standards of chaotic signals are introduced. Furthermore, the correlation dimensions of EME and the acoustic emission (AE) signals of time series during deformation and fracture of coal bodies are calculated and analyzed. The results show that the time series of pulses number of EME and the time series of AE count rate are chaotic and that the saturation embedding dimensions of a K3 coal sample are, respectively, 5 and 6. The results can be used to provide basic parameters for predicting of EME and AE time series.     

一个新混沌系统的有界性和同步

通过构造一个适当的广义正定Lyapunov函数,证明了此混沌系统是有界的。然后,研究了此系统的线性反馈同步,设计了2个2线性控制器实现了驱动系统和响应系统的同步。最后,应用Matlab进行了数字仿真以验证同步的理论效果。     

一种新的混沌神经网络及其应用

提出一种新的混沌神经元模型,该神经元的激励函数由复合正弦函数和Sigmoid函数构成,通过分叉图及Lyapunov指数的计算,分析了其动力学特征.基于该模型构造了一种新的暂态混沌特征神经网络,并将其应用于组合优化问题.仿真实验结果表明了该算法的有效性与可行性.     

基于IEEE1588的智能变电站时钟同步网络

时钟同步系统是实现变电站设备智能化的关键技术.介绍智能化变电站对时间统一系统的要求,分析IEEE 1588时钟同步原理;论述智能变电站PTP时钟同步网组网方式;搭建智能变电站PTP时间同步网络模型并设计同步时钟的冗余配置方案.该时间同步网络能够满足智能电网自愈性要求,可以用于指导智能化变电站时间统一系统的构建.     

一种类Lorenz系统与Lorenz系统的异结构混沌同步

用两种不同的方法──主动控制法和Lyapunov直接法,实现了一种具有极其丰富的动力学现象的类Lorenz系统和Lorenz系统的异结构同步,并且设计了不同的控制器使得响应系统与驱动系统同步,采用Matlab进行数值仿真,方法切实可行。     

分数阶超混沌Lorenz系统及同步研究

基于分数阶微积分的Adams—Bashforth—Moulton一步方法与预估-校正算法,研究了分数阶超混沌Lorenz系统,并进行了数值仿真。结果表明：该系统存在超混沌的最低阶数为3．88阶。利用一步耦合法给出了分数阶超混沌系统的同步,并利用数值模拟验证其准确性。