一种新的复合导引头多源异步信息融合精确拦截算法

针对单一制导体制难以满足现代战场作战需求,而多传感器数据更新率不同步的问题,建立一种新的微惯导/毫米波/红外复合制导体制,研究了该体制下多传感器异步信息融合的时间同步和空间配准问题;提出一种自适应Unscented卡尔曼滤波算法,该算法采用预测残差构造状态模型误差统计量,通过自适应因子调整状态模型信息对状态参数估值的贡献,有效控制状态模型噪声异常对状态参数估值的影响。将提出的算法应用到微惯导/毫米波/红外复合制导系统中进行仿真验证,结果表明,提出的自适应Unscented卡尔曼滤波算法的解算精度高于标准扩展卡尔曼滤波和Unscented卡尔曼滤波算法,能有效提高导弹的制导的解算精度。     

基于区域定位重要度指标的GPS失效性分析

空间几何构型是决定GPS定位精度的关键因素之一。采用概率统计的思想,基于区域定位重要度指标算法,通过分析计算不同空间几何构型的几何精度系数,寻求对区域定位精度影响最大的卫星构型。在此基础上对GPS卫星进行重要度排序,并对GPS星座失效性进行分析。结果表明:此方法能有效找出对区域定位精度影响最大的卫星构型,并且避免了大规模仿真计算,快捷有效。     

几何分布定数截尾步加试验的最优设计

在逐步type-II结尾场合下,研究产品简单步进应力加速寿命试验的优化设计。假定产品服从几何分布,讨论了几何分布产品加速方程如何建立,利用次序统计量的大样本性质,得到相应的Fisher信息矩阵,以对数特征寿命极大似然估计的渐进方差最小为准则结合Fisher信息矩阵,给出了步进应力加速寿命试验的最优分配比例,通过模拟验证最优设计的有效性。     

Convolutions and generalization of logconcavity: Implications and applications

Additive convolution of unimodal and α‐unimodal random variables are known as an old classic problem which has attracted the attention of many authors in theory and applied fields. Another type of convolution, called multiplicative convolution, is rather younger. In this article, we first focus on this newer concept and obtain several useful results in which the most important ones is that if is logconcave then so are and for some suitable increasing functions ?. This result contains and as two more important special cases. Furthermore, one table including more applied distributions comparing logconcavity of f(x) and and two comprehensive implications charts are provided. Then, these fundamental results are applied to aging properties, existence of moments and several kinds of ordered random variables. Multiplicative strong unimodality in the discrete case is also introduced and its properties are investigated. In the second part of the article, some refinements are made for additive convolutions. A remaining open problem is completed and a conjecture concerning convolution of discrete α‐unimodal distributions is settled. Then, we shall show that an existing result regarding convolution of symmetric discrete unimodal distributions is not correct and an easy alternative proof is presented. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 109–123, 2016     

冗余捷联惯组信息容错管理算法

对于单机多表斜置冗余捷联惯组的故障诊断、隔离和重构,提出无迹卡尔曼滤波结合三交叉容错融合方法。考虑各误差项,对不同的冗余配置建立统一数学模型。通过三交叉重构模型的设计可快速隔离一度故障并输出正确结果,对被隔离的故障表各误差系数采用无迹卡尔曼滤波方法标定,可辨识因误差系数改变而引起的软故障。以单机五陀螺的两种误差系数软故障为例仿真验证了冗余捷联惯组信息容错管理算法的正确性。     

预警机指挥多机群空战的协同战术决策

分析了预警机指挥下的多机群协同空战的战术决策方法,建立起了它的战术编队、威胁评估以及目标分配模型,并进行了仿真计算,结果表明此战术决策方法对于提高多机群协同空战的作战效能有着显著的作用,对于未来无人作战飞机多编队协同作战也具有很好的参考价值.     

自主式UCAV火控算法与系统设计

介绍了一种改进的CCRP轰炸瞄准原理,给出了其数学模型和瞄准原理公式,分析、说明了其瞄准原理和特点.根据自主式无人战斗机的特点、任务、要求,运用此原理,进行了系统设计,确定了火飞耦合控制律.研究和仿真结果表明:该原理正确,所述的火控算法和设计的控制律合理,为进一步开展自主式UCAV的研究和设计打下了基础.     

Research on simultaneous localization and mapping for AUV by an improved method: Variance reduction FastSLAM with simulated annealing

At present, simultaneous localization and mapping (SLAM) for an autonomous underwater vehicle (AUV) is a research hotspot. Aiming at the problem of non-linear model and non-Gaussian noise in AUV motion, an improved method of variance reduction fast simultaneous localization and mapping (FastSLAM) with simulated annealing is proposed to solve the problems of particle degradation, particle depletion and particle loss in traditional FastSLAM, which lead to the reduction of AUV location estimation accuracy. The adaptive exponential fading factor is generated by the anneal function of simulated annealing algorithm to improve the effective particle number and replace resampling. By increasing the weight of small particles and decreasing the weight of large particles, the variance of particle weight can be reduced, the number of effective particles can be increased, and the accuracy of AUV location and feature location estimation can be improved to some extent by retaining more information carried by particles. The experimental results based on trial data show that the proposed simulated annealing variance reduction FastSLAM method avoids particle degradation, maintains the diversity of particles, weakened the degeneracy and improves the accuracy and stability of AUV navigation and localization system.     

Influence of active constrained layer damping on the coupled vibration response of functionally graded magneto-electro-elastic plates with skewed edges

This article makes the first attempt in assessing the influence of active constrained layer damping (ACLD) treatment towards precise control of frequency responses of functionally graded skew-magneto-electro-elastic (FGSMEE) plates by employing finite element methods. The materials are functionally graded across the thickness of the plate in terms of modest power-law distributions. The principal equations of motion of FGSMEE are derived via Hamilton’s principle and solved using condensation technique. The effect of ACLD patches are modelled by following the complex modulus approach (CMA). Additionally, distinctive emphasis is laid to evaluate the influence of geometrical skewness on the attenuation capabilities of the plate. The accuracy of the current analysis is corroborated with comparison of previous researches of similar kind. Additionally, a complete parametric study is directed to understand the combined impacts of various factors like coupling fields, patch location, fiber orientation of piezoelectric patch in association with skew angle and power-law index.     

MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment

As the generalization of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS), the q-rung orthopair fuzzy set (q-ROFS) has emerged as a more meaningful and effective tool to solve multiple attribute group decision making (MAGDM) problems in management and scientific domains. The MABAC (multi-attributive border approximation area comparison) model, which handles the complex and uncertain decision making issues by computing the distance between each alternative and the bored approximation area (BAA), has been investigated by an increasing number of researchers more recent years. In our article, consider the conventional MABAC model and some fundamental theories of q-rung orthopair fuzzy set (q-ROFS), we shall introduce the q-rung orthopair fuzzy MABAC model to solve MADM problems. at first, we briefly review some basic theories related to q-ROFS and conventional MABAC model. Furthermore, the q-rung orthopair fuzzy MABAC model is built and the decision making steps are described. In the end, An actual MADM application has been given to testify this new model and some comparisons between this novel MABAC model and two q-ROFNs aggregation operators are provided to further demonstrate the merits of the q-rung orthopair fuzzy MABAC model.