高温非平衡氮组分多温度振动-离解耦合模型

基于多温度模型的基本思想,从惟象角度分析了非平衡状态下双原子分子振动态分布的特征信息。研究了双原子分子在非平衡弛豫过程中振动—离解耦合特点,认为较低和较高振动态首先达到相对独立的准平衡状态,较高振动态的局域离解造成的相对数密度分布密度差将导致各个振动态数密度从新分布;而这一过程也是系统通过V-V传能、T-V传能不断把位于较低振动态的分子通过中间振动态激发到较高振动态,为离解做能量积累的过程。通过对目前较常用的Hammerling假设的修正,用中间振动态数密度分布情况重新定义了双原子分子非平衡态下的振动温度,建立了新的关联振动-平动温度的双原子分子振动态非平衡近似分布模型。通过模拟氮分子非平衡激波加热过程结果表明,本模型较好地预报了氮分子非平衡振动松弛过程中"诱导期"以及平均振动能、振动温度的时间特性。     

开放式微波结构中的时域模函数初探

为了探讨将Diakoptics算法应用到开放式微波结构时适宜的时域模函数形式,在对槽线、共面波导、微带线及耦合微带线的空间电磁场分布特性分析的基础上,提出零阶、一阶第一类贝塞尔函数是较适宜的时域模函数,并总结了选取规律.      

反坦克导弹的一种自校正制导控制方法

利用规范化模型和加权自校正控制方法,对反坦克导弹提出了一种自校正控制器。并在广义最小方差自校正控制律中引入了能自动调整的加权因子,以兼顾系统的稳定性和动态性能指标及适应反坦克导弹快速时变对象的控制要求。数字仿真结果表明,这种控制器对反坦克导弹有很好的控制效果,而且控制器算法简单,对过程的非线性、阶次失配和未建模扰动均有较强的鲁棒性。     

航空科研单位典型仿效创新项目 成长模式分析

通过对北京航空材料研究院(BIAM)5种典型仿效技术创新项目产品产值时间序列进行统计分析,建立其成长模型,并实际验证该模型的正确,从而了解仿效技术创新项目的成长过程.实证分析中还发现仿效创新项目收入占总收入比例的成长符合逻辑斯蒂或龚帕斯模型.     

模糊极大极小算子神经元网络的图灵等价性

将模糊Zadeh算子的定义域作了扩充,并重新定义为模糊极大极小算子,使其满足交换律、结合律和零元律.在此基础上提出一种模糊极大极小算子型神经元网络模型,符合一般模糊算子型神经元网络的定义.与传统的Zadeh算子型模糊神经网络相比具有较强的映射能力.详细证明了用该模糊极大极小算子神经元网络可以计算与图灵机等价的部分递归函数,从而表明模糊极大极小算子神经元网络的计算能力等价于图灵机.将传统神经元M-P模型神经网络的图灵等价性推广到模糊神经元网络.     

分布假设及其对复合材料B基值的影响

简要介绍了以经验分布函数统计量为基础的一类先进拟合优度检验方法，分析了不同母体分布假设对复合材料B基值的影响，认为采用3参数Weibull分布拟合复合材料强度数据比较合理。     

A regional model for the prediction of M(3000)F2 over East Asia

Research on empirical or physical models of ionospheric parameters is one of the important topics in the field of space weather and communication support services. To improve the accuracy of predicting the monthly median ionospheric propagating factor at 3000 km of the F2 layer (identified as M(3000)F2) for high frequency radio wave propagation, a model based on modified orthogonal temporal–spatial functions is proposed. The proposed model has three new characteristics: (1) The solar activity parameters of sunspot number and the 10.7-cm solar radio flux are together introduced into temporal reconstruction. (2) Both the geomagnetic dip and its modified value are chosen as features of the geographical spatial variation for spatial reconstruction. (3) A series of harmonic functions are used to represent the M(3000)F2, which reflects seasonal and solar cycle variations. The proposed model is established by combining nonlinear regression for three characteristics with harmonic analysis by using vertical sounding data over East Asia. Statistical results reveal that M(3000)F2 calculated by the proposed model is consistent with the trend of the monthly median observations. The proposed model is better than the International Reference Ionosphere (IRI) model by comparison between predictions and observations of six station, which illustrates that the proposed model outperforms the IRI model over East Asia. The proposed method can be further expanded for potentially providing more accurate predictions for other ionospheric parameters on the global scale.     

Basic belief assignment approximations using degree of non-redundancy for focal element

Dempster-Shafer evidence theory, also called the theory of belief function, is widely used for uncertainty modeling and reasoning. However, when the size and number of focal elements are large, the evidence combination will bring a high computational complexity. To address this issue, various methods have been proposed including the implementation of more efficient combination rules and the simplifications or approximations of Basic Belief Assignments (BBAs). In this paper, a novel principle for approximating a BBA into a simpler one is proposed, which is based on the degree of non-redundancy for focal elements. More non-redundant focal elements are kept in the approximation while more redundant focal elements in the original BBA are removed first. Three types of degree of non-redundancy are defined based on three different definitions of focal element distance, respectively. Two different implementations of this principle for BBA approximations are proposed including a batch and an iterative type. Examples, experiments, comparisons and related analyses are provided to validate proposed approximation approaches.     

基于随机模糊参数的结构模糊可靠性分析模型

结构模糊可靠性理论研究主要是建立仅考虑失效准则模糊性的结构模糊可靠性分析模型.在现有结构模糊可靠性分析理论研究的基础上,同时考虑工程中结构参数的随机性和区间模糊性,提出了模糊概率密度函数的概念,并推导相应的模糊概率密度函数公式,给出了反映随机参数区间模糊性的隶属函数的类型和选取方法.建立了同时考虑随机参数区间模糊性和失效准则模糊性的结构模糊可靠性分析模型.讨论了模糊可靠性分析模型与常规的随机可靠性分析模型的相容性.并给出算例进行验证,研究结果表明,采用该结构模糊可靠性分析方法更能全面地利用结构参数信息.     

An improved α-cut approach to transforming fuzzy membership function into basic belief assignment

In practical applications, pieces of evidence originated from different sources might be modeled by different uncertainty theories. To implement the evidence combination under the Dempster–Shafer evidence theory(DST) framework, transformations from the other type of uncertainty representation into the basic belief assignment are needed. a-Cut is an important approach to transforming a fuzzy membership function into a basic belief assignment, which provides a bridge between the fuzzy set theory and the DST. Some drawbacks of the traditional a-cut approach caused by its normalization step are pointed out in this paper. An improved a-cut approach is proposed, which can counteract the drawbacks of the traditional a-cut approach and has good properties. Illustrative examples, experiments and related analyses are provided to show the rationality of the improved a-cut approach.