一种新的离差最大化的舰艇编队对空目标威胁评估

现代海战中,空中目标对于舰艇编队的威胁日益严重。及时、准确地评估空中目标威胁是舰艇编队提高生存能力的关键。传统目标威胁评估方法有的依赖于专家的主观判断,有的需要大量准确性较高的训练样本数据,从而使实际运用受到局限。提出了一种新的基于离差最大化的威胁评估方法,它适用于威胁评估指标权重完全未知,通过仿真算例验证了该方法的合理性和有效性。     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

基于改良云模型的舰艇防空威胁评估

为了解决现有威胁评估模型存在不足,快速准确地对来袭空中目标进行威胁排序,提出了一种基于改良云模型的评估方法。针对舰艇防空作战目标特点,选取作战指标进行量化,对不同的定量指标和定性指标,分别采用离差最大化和改良云模型进行处理和赋权,通过Hamming距离计算贴近度,最后进行威胁综合排序。实例验证表明:该方法可以有效避免传统方法中人为确定各威胁指标权重的主观性,同时对定性指标的有效处理提高了评估准确性,为舰艇防空作战威胁评估提供了一条有效途径。     

基于感知信息共享的C2网络特征分析

指挥控制（C2,Commandand Control）关系网络连接数的增加会增强指控节点之间的信息共享,但也会增加节点信息处理和交换负荷,如果达到一定程度,则会造成节点本身的“信息过载”从而影响C2网络性能。对此,通过研究C2网络在两种不同处理方式下的共享感知信息平均提交时间,用网络节点响应时间的均方差表征一个C2网络的共享态势感知时间的一致性,最后对两种不同结构C2网络特征参数的计算,说明了网络连接增加会导致信息提交时间的延长,但一致性会增强。     

助推滑翔飞行器复合控制系统线性化小偏差运动方程推导与控制系统设计

助推滑翔技术是制导武器实现增加射程、提高机动突防能力的关键技术之一,对飞行器姿态控制有较高的要求,需要设计复合控制方式的姿态控制系统.针对采用空气舵与燃气舵联动控制的飞行器,建立了动力学模型,详细推导了完整的三通道线性化小偏差运动方程,结合典型弹道数据给出了动力系数图像,分析了助推滑翔弹道各飞行段中飞行器的稳定性,在此基础上选取再入段低空飞行特征点进行了姿控系统设计,仿真结果验证了线性化小偏差运动方程的正确性和控制系统的有效性,为进行此类飞行器的稳定性分析与姿态控制系统设计提供了有益的参考.     

泛函微分方程x’（t）＝a（t）f（x（μ（x（t））））的解的性态

本文研究偏差变元依赖状态自身的泛函微分方程ｘ’（ｔ）＝ａ（ｔ）ｆ（ｘ（μ（ｘ（ｔ））））（１）的解的渐近性态。进一步推广或部分推广Ｄｕｎｋｅｌ［１］、Ｅｄｅｒ［２］、Ｗａｎｇ［３］、吴汉忠［４．５］及作者［６～８］等人的工作。文中使用了一些新方法,也得到了一些新结果。     

伪卫星增强系统参考站接收机的测距偏差及优化

伪卫星相对地面用户是静止的,因此卫星与参考站接收机之间的距离几乎是不变的。在这种情况下,采样和量化引入的误差不再服从高斯分布,从而影响接收机的测量精度。为了解决这一问题,建立了卫星导航接收机的离散数字信号模型,并在此基础上分析了采样和量化对测距偏差的影响,通过仿真验证了结论的正确性,并提出了伪卫星增强系统下参考站接收机的优化设计方法。     

线性回归模型系数Stein估计的改进研究

针对线性回归模型病态的根本原因,提出了一类新的估计———c-k型估计,将岭估计与Stein估计统一到一个估计类;研究了这一估计类,证明利用岭回归技术可以改进著名的Stein估计(在均方误差意义下);同时研究了相应参数的最优值,分别给出了它的一个上界及下界,为病态线性回归模型系数的有偏估计提供了改进的技术途径.     

三轴磁强计晃动对测量结果的影响分析及校正

三轴磁强计的主要误差有零偏误差、灵敏度误差以及三轴非正交误差。通过在三轴正交坐标体系下对传感器的三轴非正交误差进行分析,建立了传感器误差模型,分析了误差对传感器晃动所产生的影响。晃动1°产生的误差最大可达109.5 nT,晃动误差随着晃动角度的增加而增加。为控制晃动误差,通过对误差模型分析建立误差校正模型,并通过非线性曲线拟合对校正模型参数准确估计,将估计参数代入校正模型,可以实现对传感器输出校正,使其输出误差大大减小,晃动1°产生的误差范围可控制在0.03 nT以内。这表明该校正方法有效地降低了晃动对传感器输出产生的影响。     

On the exponentially weighted moving variance

MacGregor and Harris (J Quality Technol 25 (1993) 106–118) proposed the exponentially weighted mean squared deviation (EWMS) and the exponentially weighted moving variance (EWMV) charts as ways of monitoring process variability. These two charts are particularly useful for individual observations where no estimate of variability is available from replicates. However, the control charts derived by using the approximate distributions of the EWMS and EWMV statistics are difficult to interpret in terms of the average run length (ARL). Furthermore, both control charting schemes are biased procedures. In this article, we propose two new control charts by applying a normal approximation to the distributions of the logarithms of the weighted sum of chi squared random variables, which are respectively functions of the EWMS and EWMV statistics. These new control charts are easy to interpret in terms of the ARL. On the basis of the simulation studies, we demonstrate that the proposed charts are superior to the EWMS and EWMV charts and they both are nearly unbiased for the commonly used smoothing constants. We also compare the performance of the proposed charts with that of the change point (CP) CUSUM chart of Acosta‐Mejia (1995). The design of the proposed control charts is discussed. An example is also given to illustrate the applicability of the proposed control charts. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009