一类具Holling-Ⅲ类功能性反应的食物有限捕食-被捕食模型的极限环

研究一类具Holling-Ⅲ类功能性反应的食物有限捕食-被捕食模型的动力学性态。应用微分方程定性理论,证明当正平衡点不稳定时该模型存在唯一稳定的极限环。     

运载器牵制释放结构动力响应数值模拟方法研究

将运载器牵制释放垂直发射的过程依次分为静态、牵制、释放三个阶段.利用MSC.Patran/Nastran的场功能和分组分析功能,将前一个阶段的计算结果场向后一个阶段的初始条件场传递,提出了一种分析运载器牵制释放全过程结构动力响应的分阶段计算新方法.解决了牵制释放过程中由于出现运载器-发射台分离面给结构动力响应计算带来的困难.采用该方法计算了几个运载器牵制释放的算例,分析了牵制阶段牵制力的变化、释放阶段运载器结构动力响应的特点、不同释放时间对结构动力响应的影响.算例表明:该方法实施简便、精度较高,还可拓展用于不同时刻释放、释放不同步、施加缓释力等条件下运载器结构动力响应的分析,为牵制释放系统的研制提供参考.     

空空导弹控制系统一体化设计方法研究

综述了空空导弹控制系统非线性设计的主要理论和方法,重点介绍了非线性动态逆和反馈线性化方法及其在导弹控制系统设计中的应用,对大攻角空空导弹控制系统一体化设计方法进行了分析和展望。     

India’s nuclear counter-revolution: nuclear learning and the future of deterrence

ABSTRACT

The India–Pakistan near war of February–March 2019 highlights India’s ongoing evolution in strategic thought and practice since its emergence in 1998 as an overt nuclear-weapon possessor. These changes, involving an increasing willingness to engage in the intentional escalation of conflict with a nuclear-armed rival willing to be the first to use nuclear weapons, challenge certain academic assumptions about the behavior of nuclear-weapon states. In particular, they undermine the expectations of the nuclear-revolution theory—which anticipates nuclear and conventional restraint among nuclear-armed rivals through fear of mutual assured destruction—and the model of nuclear learning which underpins this theory, in which new nuclear-weapon states gradually absorb this restraint through policy-maker learning. This article explores how India’s learning pathway since 1998 has deviated from these expectations. India is instead pursuing its own “revolution,” in the direction of creating capabilities for flexible response and escalation dominance. It concludes by illuminating the similarities between Indian strategic behavior and contemporary practices of other nuclear-armed states, and suggests that New Delhi’s emerging de facto nuclear doctrine and posture is part of a broader empirical challenge to our current conceptions of the nuclear revolution and of nuclear learning.     

基于神经网络的导弹系统辨识

详细地讨论了神经网络在导弹动态特性中的应用 ,利用神经网络的万能拟合能力进行了神经网络的训练和仿真 ,为导弹离散控制系统的设计提供了有效的工程数据 ,给导弹系统的系统辨识提供了一条新的方法和思路     

利用模态迭加法进行动响应分析应注意的问题

采用MSC-MARC程序的模态迭加法,对具有指数规律冲击载荷作用下的简支矩形板进行了响应计算,指出并讨论了应用模态迭加法求解结构动响应时应注意的几个问题.