小波神经网络在装备研制费预测与控制中的应用

通过小波及小波变换的原理和方法,建立了适用于武器装备研制费用的小波神经网络预测与控制模型.结合某型装备研制费用,进行了预测与控制的数据仿真.     

一类非线性控制系统模型的数学分析

采用非线性分析的方法,研究了一类非线性控制系统模型,得到解的整体存在性。     

一种改进的事件驱动系统框架

在给出事件驱动系统安全漏洞的基础上,指出了产生漏洞的根本原因是:系统忽视了输入系统的事件序列之间存在的相关性;系统无条件信任任何事件源产生的事件.针对这两个原因,相应提出了事件序列形式安全分析模型及基于事件源的可信度评估模型,依据这两个模型,构建了一种改进的事件驱动系统框架.     

The politics of international chemical weapon justice: The case of Syria, 2011–2017

There has been near-universal condemnation of the use of chemical weapons in the Syrian conflict. The international community has nevertheless struggled to make progress on holding the perpetrators to account. This article reviews developments at the international level in terms of Syrian chemical weapon justice between 2011 and 2017. It argues that there have been substantive disagreements between states on the rationale and means of justice in the Syrian case. It also argues that international initiatives have been tightly intertwined with developments in chemical disarmament and conflict resolution processes as well as the broader war. The article describes progress and challenges to chemical weapon justice in a number of distinct formal international mechanisms during the period studied. The analysis concludes by contextualizing international responses—including the U.S. tomahawk strikes against a Syrian airbase—to the Khan Shaykhun chemical attacks of April 2017.     

A Good Ally - Norway and International Statebuilding in Afghanistan, 2001-2014

The article examines the findings of the Commission of Inquiry established by the Norwegian government in 2014 to evaluate all aspects of Norway’s civilian and military contribution to the international operation in Afghanistan from 2001 to 2014. Concerned with the wider implications of the Commission’s findings, it focuses on two issues in particular: (1) Norway’s relations with the US, a close and long-standing strategic ally whose resources, capabilities and dominance of decision-making dwarfed that of all other coalition partners in Afghanistan; and (2) Norway’s record in the province of Faryab, where, from 2005 to 2012, a Norwegian-led Provincial Reconstruction Team was charged with bringing security, good governance and development to the province. How Norway prioritised and managed relations with the US highlights and helps to problematise the challenges – political, practical and moral – facing small and medium-sized powers operating in a coalition alongside the US. Norwegian efforts in Faryab are revealing of the dilemmas and contradictions that plagued and, ultimately, fatally undermined the international intervention as a whole. As such, Norway’s experience provides a microcosm through which the inherent limitations of the attempt to transfer the structures of modern statehood and Western democracy to Afghanistan can be better understood.     

可展开遮阳罩技术研究进展及其关键科学问题

可展开遮阳罩一般是由多层轻质柔性高精度无褶皱薄膜和展开支撑臂及其控制装置组成,在轨后展开支撑臂有序展开多层大面积薄膜实现光控制和热控制性能,能有效改善和防护空间航天器。针对可展开遮阳罩结构,依据一维轴向、二维平面与三维周向的展开方式分类总结国内外可展开遮阳罩技术的研究进展,并对不同遮阳罩结构形状、薄膜材料、层数与展开方式等进行对比分析;梳理出遮阳罩在杂光抑制、折叠与展开变形机理、极端环境下薄膜多场耦合、低温热控、太阳辐射光压力矩及其计算方法等方面的关键科学问题,并给出了中国研究遮阳罩的发展建议。     

采用PWPF调节器的再入飞行器最优控制分配方法

针对具有反作用控制系统(Reaction Control System,RCS)和气动舵两类控制机构的再入飞行器,提出一种基于脉宽脉频(Pulse-Width Pulse-Frequency,PWPF)调节器的最优控制分配方法。将RCS的输入信号转化为连续变化量,RCS与气动舵的控制分配问题被描述为二次规划问题,并采用有效集方法对其求解。采用离散法和PWPF调节器将优化结果转化为RCS的开关机状态。与混合整数规划问题相比,连续二次规划问题更容易求解,计算速度更快。通过对二次规划问题的重构,该算法能有效地应对故障情况。     

国家安全视角下的网络文化安全形势与对策

互联网的发展加速了权力分散,对我国的国家安全尤其是文化安全维护提出了新的问题。当前,我国社会进入新时代发展阶段,社会主要矛盾发生重要变化。与互联网尤其是网络文化安全有关的风险和挑战不断增多,互联网已经成为文化安全斗争的主战场。如何直面挑战,着力维护网络文化安全,提出队伍建设、舆论阵地和平台建设、维护手段、思维和素养、机制和法规建设的对策方法。     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016