智能飞机悬挂物及武器发射/投放管理系统研究

采用人工智能技术研究飞机悬挂物及武器发射／投放管理系统,实现对飞机悬挂物及武器发射／投放的自动化、智能化控制与管理,以此减轻驾驶员的工作负担,提高飞机的作战效能和自身的安全性及生存率,并对系统功能进行了具体的编程仿真。     

计及励磁电流谐波的同步发电机空载电势分析

采用多回路理论,研究了同步发电机空载时计及励磁电流谐波的定子谐波电势,得到该情况下定子低次谐波电势的计算公式,并附有计算实例．     

弹道式导弹自对准系统的随机最优控制

固定基座发射的弹道式导弹,可以利用三轴陀螺平台罗盘系统来实现全方位自对准。在考虑到系统噪声及测量噪声情况下,根据离散型线性随机系统最优控制的分离定理,实现平台罗盘自对准系统的最优控制。计算结果表明,所讨论的方法,可以在对准精度、对准时闻及对随机干扰信号的滤波作用诸性能要求方面,获得满意的结果。     

一个多Agent系统合作模型

从多Agent系统的组成结构出发,综述合作问题的理论机制,提出了采用多Agent系统模型来求解逻辑推理问题的方法,根据各Agent自身意图,相互合作以达成群体目标。     

一种系统存在有界干扰的混合自适应极点配置方案

主要讨论了确定性单输入单输出连续时间系统存在有界干扰时的混合自适应极点配置问题,给出了一种间接式混合自适应极点配置方案,并以某飞行器自动驾驶仪为例,对该方案进行了数字仿真,结果表明,该方案能有效地抑制有界干扰的不利影响。     

柴油喷雾碰壁特性的模拟计算

提出一个柴油喷雾碰壁的数学模型,计算分析了垂直碰壁和倾斜碰壁时虽面射流的传播和混合特性.建立了新的壁面射流贯穿距离计算公式,结果显示这种计算方法是分析柴油喷注碰壁性能的简单而实用的工具.     

计算机辅助保障性分析技术框架设想

探讨了在装备型号研制过程中,计算机辅助保障性分析技术的总体框架,分析模块的基本功能,实现该项技术的技术途径.     

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

Tracking maneuvering target in real time autonomously and accurately in an uncertain environment is one of the challenging missions for unmanned aerial vehicles(UAVs).In this paper,aiming to address the control problem of maneuvering target tracking and obstacle avoidance,an online path planning approach for UAV is developed based on deep reinforcement learning.Through end-to-end learning powered by neural networks,the proposed approach can achieve the perception of the environment and continuous motion output control.This proposed approach includes:(1)A deep deterministic policy gradient(DDPG)-based control framework to provide learning and autonomous decision-making capa-bility for UAVs;(2)An improved method named MN-DDPG for introducing a type of mixed noises to assist UAV with exploring stochastic strategies for online optimal planning;and(3)An algorithm of task-decomposition and pre-training for efficient transfer learning to improve the generalization capability of UAV's control model built based on MN-DDPG.The experimental simulation results have verified that the proposed approach can achieve good self-adaptive adjustment of UAV's flight attitude in the tasks of maneuvering target tracking with a significant improvement in generalization capability and training efficiency of UAV tracking controller in uncertain environments.     

国防建设与经济建设协调发展是国家安全与发展的重大课题

坚持国防建设与经济建设协调发展,建设一支现代化、正规化的革命军队,确保国防安全,是党执政的一项重大战略任务。在新的历史时期,坚持国防建设与经济建设协调发展有着重要的时代意义;我们应当从更深刻的意义上理解国家的安全与发展利益,把握经济建设与国防建设协调发展方针的时代内涵;努力形成国防建设与经济建设相互促进、协调发展的观念和机制。     

Designing rewards-based crowdfunding campaigns for strategic (but distracted) contributors

In rewards-based crowdfunding, entrepreneurs solicit donations from a large number of individual contributors. If total donations exceed a prespecified funding target, the entrepreneur distributes nonmonetary rewards to contributors; otherwise, their donations are refunded. We study how to design such campaigns when contributors choose not just whether to contribute, but also when to contribute. We show that strategic contribution behavior—when contributors intentionally delay until campaign success is likely—can arise from the combination of nonrefundable (potentially very small) hassle costs and the risk of campaign failure, and can explain pledging patterns commonly observed in crowdfunding. Furthermore, such delays do not hurt the entrepreneur if contributors are perfectly rational, but they do if contributors are distracted, that is, if they might fail to return to the campaign after an intentional delay. To mitigate this, we find that an entrepreneur can use a simple menu of rewards with a fixed number of units sold at a low price, and an unlimited number sold at a higher price; this segments contributors over time based on the information they observe upon arrival. We show that, despite its simplicity, such a menu performs well compared to a theoretically optimal menu consisting of an infinite number of different rewards and price levels under many conditions.