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描述了在VC++环境中开发的基于VISA接口标准的射频半实物仿真系统校准自动测试程序.利用VISA函数与接口无关、与操作系统无关、与编程环境无关的特点,通过GPIB总线和SCPI标准命令对矢量网络分析仪进行程序控制,达到空间辐射信号精确测量的目的,实现了目标阵列的宽带特性校准. 相似文献
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针对驱动和制动工况下电驱动汽车的滑移率控制这一强非线性和不确定性控制问题,提出了一种基于反馈线性化的自适应滑模控制(ASMC)方法。针对车辆驱动、制动工况下的车轮滑移率进行了动力学分析,建立了统一的状态方程。充分利用系统已知模型和参数,采用线性化反馈消除非线性变化的控制量增益系数的影响,通过对反馈项增益参数的自适应调整,适应附着路面不确定参数变化的控制要求,克服系统控制中存在的主要非线性和不确定性部分,对于系统难以建模描述部分,视为扰动,利用滑模控制抑制系统该部分的不确定性因素,同时保证系统响应的快速性,并对算法进行了Lyapunov稳定性分析。最后,以某型电动汽车为对象进行了仿真分析,结果表明采用ASMC控制系统动态响应快、精度高、抗扰能力强,对路面参数变化具有较强的鲁棒性,同时输出控制量抖振小。 相似文献
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Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). This tool has been utilized by a number of authors to examine two‐stage processes, where all the outputs from the first stage are the only inputs to the second stage. The current article examines and extends these models using game theory concepts. The resulting models are linear, and imply an efficiency decomposition where the overall efficiency of the two‐stage process is a product of the efficiencies of the two individual stages. When there is only one intermediate measure connecting the two stages, both the noncooperative and centralized models yield the same results as applying the standard DEA model to the two stages separately. As a result, the efficiency decomposition is unique. While the noncooperative approach yields a unique efficiency decomposition under multiple intermediate measures, the centralized approach is likely to yield multiple decompositions. Models are developed to test whether the efficiency decomposition arising from the centralized approach is unique. The relations among the noncooperative, centralized, and standard DEA approaches are investigated. Two real world data sets and a randomly generated data set are used to demonstrate the models and verify our findings. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008 相似文献
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Liviu Horovitz 《战略研究杂志》2015,38(1-2):126-158
This article questions the predominantly pessimistic assessments over the future of the Treaty on the Non-Proliferation of Nuclear Weapons (NPT). After analysing available evidence on states’ interests and interactions within the NPT’s framework, it argues that several negative expectations are unwarranted. Conversely, the article identifies three potentially threatening scenarios. Therefore, it scrutinizes the likely impact of reactive nuclear proliferation; analyses the probability of significant actors challenging the existent nuclear architecture; and explores whether the treaty’s enforcement might soon be diluted. The article concludes the NPT is unlikely to face fundamental threats in the foreseeable future. 相似文献
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应用变型设计理论和方法,对系列产品平台设计方法进行研究,探索覆盖整个产品功能要求的系列产品平台设计方法(Platform Design for Variety简称PDFV)。提出采用量化计算的产品变型指标和关联指标作为外因和内因引起系列产品更新设计的指导工具,获取产品变化的趋势,研究部件所受到的外界因素的影响,用关联指标作为部件之间关联程度的批示器,使开发出的系列产品平台具有柔性,以确保平台以最低的成本派生新产品,为快速实现系列产品的变型设计和配置设计提供科学方法。产品变型指标和关联指标工具的组合完善了PDFV方法。以油料装备系列产品油罐车为实例,论述了产品变型指标和关联指标构建的步骤。阐明基于变型设计理论的系列产品平台的研究,对实现快速设计、降低产品开发成本具有重要意义。 相似文献
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For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang-bang evasive maneuver with a random switching time. Combined Fast multiple model adaptive estimation (Fast MMAE) algorithm, the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration. Introduced the detection error model related to the line-of-sight (LOS) separation angle of two interceptors, an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance. Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion, Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately. The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation. 相似文献