非线性系统的动态神经网络自适应辨识

提出了用双层动态神经网络在线辨识非线性动态系统的方法。神经网络的权重在线学习,不需要离线训练。在无逼近误差和扰动的理想情况下,所提出的在线算法能保证辨识误差趋于零,基函数持续激励条件能保证权重趋于零。在非理想情况下,权重调整律采用ｅ修正权重算法,它是ＢＰ算法的推广,不需要基函数的持续激励条件。基于李雅普诺夫稳定性理论保证了自适应辨识系统的稳定性。仿真算例说明了所提出的动态神经网络自适应辨识的有效性     

Platform LSF软件在高性能计算集群中的实施与应用

随着信息处理技术的精度、可靠度等要求的进一步提高,采用高性能计算集群系统已经成为数字化制造中的关键技术之一.本文结合高性能计算应用现状的不足,阐述了Platform LSF软件设计思想和目标,介绍了该软件的实施与应用情况.     

Capillary flow rate limitation in asymmetry open channel

This paper focuses on the stability of capillary forced flow.In space,open capillary channels are widely used as the liquid and gas separation devices to manage liquid positioning and transportation.Surface collapse happens when the flow rate exceeds the critical value,leading to a failure of propellant management.Knowledge of flow rate limitation is of great significance in design and optimization of propellant management devices(PMDs).However,the capillary flow rate limitation in an asymmetry channel has not been studied yet in the literature.In this paper,by introducing an equivalent angle to convert the asymmetry corner to a symmetry one,the one-dimensional theoretical model is developed.The flow rate limitation can then be investigated as a function of the channel geometry as well as liquid property based on the model.Comparisons between the asymmetry and symmetry channels bring forth the characteristics of the two kinds of channels,and demonstrate good accordance between the new advanced model and the existing one in the literature.This theoretical model can provide valuable reference for PMD designers.     

分布式卫星干涉测高系统编队构形优化设计方法

 分布式卫星干涉合成孔径雷达（InSAR）编队构形设计是系统总体设计的关键问题。从系统测高性能优化角度出发,提出分布式InSAR编队优化设计一般方法,将其概括为求解一个优化问题,以主星带辅星群体制分布式InSAR为例建立目标函数,针对其星载双站、斜视、空间基线等特点建立测高精度与辅星轨道根数的关系,基于近似的相对运动数学模型对该优化问题进行简化,并采用遗传算法求解。在此基础上,对多颗卫星组成编队以提高系统测高性能提出了一种多星编队设计方法。仿真分析表明,经优化得到的编队测高性能要优于干涉车轮和钟摆编队,该结果验证了优化设计方法的有效性和正确性。     

一种恒电长度干涉仪分析的新方法

对数周期天线的相位中心随频率呈线性变化,用2个对数周期天线可以构成具有恒电特性的干涉仪天线阵,在工程应用中,天线相位中心较大的测试误差会导致天线阵调试困难.通过对恒电长度干涉仪的分析,提出了利用相位扫频测试对天线阵进行调试分析的方法,避免了繁杂的相位中心测试,简化了天线阵的调试过程,测试数据可直接用于系统校正.     

Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.     

气体自发光在高超声速流场显示中的应用

提出了利用高焓气体自发光作为高超声速流场显示的方法,介绍了在使用高焓运行的激波风洞中,对二维模型的高超声速绕流流场使用此种方法的初步结果,可观察到二维棱形柱的尾流和马赫波的相交。结果表明此种方法不需外加光源,对于结构限制无法设置透明部件的模型,无疑是简单可行的。     

Very low frequency interferometry for the Chang’E-2 project

Very low frequency interferometry among two astronomical experiments has been proposed and accepted for further study for the second phase of China’s lunar exploration programme (the Chang’E Programme), which is envisaged to operate a lander and a rover on the surface of the moon. This experiment is an interferometer experiment in the very low frequency (VLF, f < 15 MHz) regime of radio frequencies with at least degree-level angular resolution. The goals include observing solar storm activities, Coronal Mass Ejections, Auroral Kilometric Radiation, and planetary radiation in the solar system, studying the origin of Cosmic Rays, spectral properties of pulsars, surveying ionized hydrogen in the Galaxy, and exploring coherent radio emissions.     

Coupled Stress-Electricity Model for Electromagnetic Emission Induced by Concrete Fracture

Electromagnetic emission induced during concrete fracturing is of great significance to health monitoring of concrete structures.A coupled stress-electricity model is established by analyzing the interaction between stress and electricity during concrete fracturing.And based on this model,the electromagnetic radiation parameters are calculated.The theoretical calculation is well coincident with experimental results.This work provides theoretical support for concrete testing system.     

基于相位变化率的无源定位法

无源定位技术有着广阔的应用前景，本文在现有单站无源定位方法的基础上，介绍了相位变化率定位法。该方法利用观测平台上两个相互正交的相位干涉仪接收目标辐射电磁波的相位获取目标的方向信息，利用对应的相位变化率获取目标的径向距离信息，从而实现对目标的实时高精度定位。文中还给出了观测平台飞行姿态变化情况下的定位表达式。仿真结果表明，该方法是一种发展前途较好的单站无源定位方法。