增强导弹武器系统电磁兼容性的方法研究

以系统内和系统间的EMC设计、分析与预测技术为基础 ,利用有关武器系统EMC的历史数据、现场报告和理论分析结论 ,对在执行任务中的导弹武器系统进行电磁环境兼容分析预测 ,识别和测试系统中的潜在干扰发射 /响应设备对 ,并进行电磁干扰控制和电磁加固 ,以增强实际训练、作战中导弹武器系统的电磁兼容性能。该方法也可推广应用到其它复杂武器系统如多军、兵种联合行动中武器系统的EMC分析和电磁加固实践中 ,以有效地减小或消除各友邻武器系统相互之间的EMI影响。     

近期美国海军南海地区活动态势分析

随着南海地区力量结构和美对华战略的转变,南海地区成为中美战略博弈的焦点。为围堵遏制中国的崛起,美国针对中国在南海实施了一系列海上挑衅行为。美国海军作为美国军事干预的主要力量,从兵力部署、演习演训、“航行自由”行动等着手,积极拉拢域内外盟友,展开并强化了在南海地区的军事活动。这些军事活动表现出极强的针对性和实战性,致使中美海上摩擦和竞争加剧。未来,美国为维护主导的全球秩序,将进一步提升美国海军在南海地区的威慑力。美国海军会借助并增加域内盟友的军事力量,继续维持高强度的装备平台活动及“航行自由”行动,推动海上力量合作。     

美军推进人工智能军事应用的举措、挑战及启示

人工智能技术的发展加速了军事智能化的脚步。本文分析了美军在推进人工智能军事应用方面采取的一系列举措,如注重国家战略层面的顶层设计,出台一系列智能化发展战略规划;部署各类军事智能化研究项目,开展大数据、智能算法研究,促进人工智能技术向情报处理、无人作战平台、指挥控制、武器装备系统、作战方式变革的渗透转化;重视智能化技术的基础理论研究和人才培养,聚焦核心和关键技术的突破,夯实军事智能化发展的基础。阐述了美军在推进人工智能军事应用进程中面临的来自技术、信任、伦理等多方面的挑战,并从成熟算法民转军用、寻求认知智能算法突破、培养军事智能化复合型人才等角度提出几点启示。     

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.     

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.     

关于部分K值逻辑中正则可离函数集的极大封闭集之最小覆盖判定的一些结果

根据部分多值逻辑完备性理论,证明了当m=2时,若正则可离关系G2=G2({1,2})∪G2之关系图仅是一个回路,则T(G2)不是P k的最小覆盖成员.     

轴向冲击载荷下圆柱壳的塑性动力屈曲

对于轴向冲击载荷下圆柱壳的轴对称塑性动力屈曲问题,将临界应力和屈曲惯性项指数参数作为双特征参数求解.由相邻平衡准则导出失稳控制方程、边界条件和波阵面上的连续条件.由失稳瞬间的能量转换和守恒准则,导出波阵面上的一个屈曲变形约束方程.由此得出定量求解2个特征参数和动力屈曲模态的完备定解条件.关于屈曲应力和屈曲波数的理论计算结果与已有实验吻合良好.     

基于可拓方法的C3I作战方案生成与评价

作战指挥决策支持系统是指挥自动化系统的重要组成部分,作战方案生成与评价是作战指挥决策支持系统的基本功能.根据作战指挥决策支持系统特点将可拓方法应用于作战方案生成与评价,并分析了其优势所在.结合空战案例运用发散树方法进行作战方案集的开拓,并利用优度评价方法进行作战方案的评价,从而得到最佳作战方案.     

模糊多因素多层次评判在目标威胁度中的应用

目标威胁度评估是目标分配的重要依据,是区分目标的轻、重、缓、急为发射决策提供依据的保证。结合模糊优选理论和AHP法,以某新型地空导弹武器系统为依托,建立相应的威胁度评估模型,为火力单元级自动化作战指挥系统的目标威胁度评估提供了一种简捷有效的方法。