未来中远距协同空战多目标攻击决策研究

根据先进战斗机的技术特点和未来中远距协同空战发展方向,提出一种基于先敌发现、先敌发射、先敌摧毁能力的空战态势分析模型。同时,采用一种将并行遗传算法与分布估计算法相结合的并行分布遗传算法并将其用于多目标攻击决策。最后利用具体算例进行仿真。结果表明空战态势分析模型能够较为准确地描述未来中远距多机协同空战,采用的算法具有较好的可行性和实时性,为中远距多机协同空战的多目标攻击决策提供了新的思路和方法。     

无人机侦察效能研究

携带侦察设备对指定区域进行侦察是无人机在现代战场上的重要应用之一。以无人机为平台,以CCD摄像机为侦察设备,提供了一种无人机执行侦察任务时的效能评估模型。在给出了无人机及侦察设备模型的基础上,从影响无人机的侦察能力和侦察代价两个方面着手,建立了对无人机侦察方案进行效能评估的模型,从而解决了侦察方案优劣的评价问题,这对无人机高效的执行侦察任务提供了理论决策依据。     

海军要地防空作战指挥中飞机有效部署区域研究

在遂行海军要地防空任务时,飞机部署区域选择对防空作战有至关重要的影响。通过对防空作战指挥中飞机防空作战指挥流程分析研究,采用战术计算方法得出了防空作战中飞机有效部署区域应满足的必要条件,根据必要条件构建了线性规划模型,并通过图解法求得有效部署区域。最后对研究成果应用领域进行了分析。     

Portfolio analysis for defense: taking account of networking

To manage their assets at an enterprise level, defense organizations have turned to portfolio theory for the planning, analysis and management of their military forces and materiel. Despite being well established in the commercial sector, the application of portfolio approaches in defense is problematic. The vexatious question for defense of how to define and measure benefits arising is complicated by the increased utility and effectiveness achieved through networking of military forces and the equipment they use. The authors discuss the challenges for defense in using a portfolio approach and propose a conceptual model for dealing with the effects arising from networking with information and communications technologies.     

Linking a throughput simulation to a systems dynamics simulation to assess the utility of a US Navy foreign humanitarian aid mission

The success of any humanitarian aid mission is generally measured by the timeliness of critical supplies that are delivered to the affected area. However, a more interesting analysis may be to determine the effect of the aid on the overall satisfaction of the local population. The authors' research focused on the delivery of humanitarian aid to a notional region that was decimated by flooding with ships, landing craft and security personnel provided by the US Navy and Marines. While the research effort addressed naval force structure, the focus of the research was: (1) to assess different delivery methods for the aid; and (2) to determine how the aid delivery impacted the overall satisfaction of the local population. To examine both concerns, two simulation models were developed, with one examining the throughput of aid delivered during the operation, and the other the satisfaction of the population based on the humanitarian aid effort.     

海上远程精确打击体系作战能力评估指标空间建模方法研究

现代战争的信息化程度、复杂性和不确定性不断提高,对海上远程精确打击（LPSS）体系作战能力的评估提出了更高的要求．要想准确评估系统的作战能力,建立合理的LPSS体系作战能力评估指标体系非常关键．然而影响LPSS体系作战能力的指标繁多,指标间存在冗余和相关性,不同层次指标间还存在交叉性,直接采用这些指标会增加后续评估的时空复杂度．在创建LPSS体系作战能力评估指标体系的基础上,对评估指标空间的建模方法进行研究,创建了可供评估的数据样本空间,为后续对底层指标集合进行约简、降维处理奠定了基础．     

群决策理论在多机协同空战机动决策中的应用

针对近距空战中多架战机对空中的多个敌对目标进行协同攻击的机动决策问题进行了研究。将群决策理论引入多机协同空战机动决策,首先确定了决策成员与候选方案,然后基于战场态势评估提出了采用风险决策准则的偏好排序确定方法,给出了集结偏好的序数型群决策方法。在不同空战想定条件下进行仿真,结果表明,该方法合理、可行,具有良好的应用前景。     

Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm

To solve the problem of realizing autonomous aerial combat decision-making for unmanned combat aerial vehicles (UCAVs) rapidly and accurately in an uncertain environment, this paper proposes a decision-making method based on an improved deep reinforcement learning (DRL) algorithm: the multi-step double deep Q-network (MS-DDQN) algorithm. First, a six-degree-of-freedom UCAV model based on an aircraft control system is established on a simulation platform, and the situation assessment functions of the UCAV and its target are established by considering their angles, altitudes, environments, missile attack performances, and UCAV performance. By controlling the flight path angle, roll angle, and flight velocity, 27 common basic actions are designed. On this basis, aiming to overcome the defects of traditional DRL in terms of training speed and convergence speed, the improved MS-DDQN method is introduced to incorporate the final return value into the previous steps. Finally, the pre-training learning model is used as the starting point for the second learning model to simulate the UCAV aerial combat decision-making process based on the basic training method, which helps to shorten the training time and improve the learning efficiency. The improved DRL algorithm significantly accelerates the training speed and estimates the target value more accurately during training, and it can be applied to aerial combat decision-making.     

基于理想点距离算法的灭火作战方案优选

分析了传统的灭火作战方案优选方法存在的弊端,提出了基于模糊集理论的计算理想点距离的优选法,明确了语言变量与模糊集理论的相关定义,规定了模糊评价语言与三角模糊数的换算方法,阐述了理想点距离的计算方法,建立了灭火作战方案优选模型,验证了该方法在灭火作战方案优选方面的科学性、有效性以及合理性.     

陆军作战仿真模型组件化设计

陆军作战仿真是一个复杂的系统工程,仿真所涉及的模型种类繁多、类别不一。针对当前陆军作战仿真模型开发不规范、通用性与可重用性差、开发和集成效率低的现状,在对陆军作战仿真模型构成要素进行分析和归纳的基础上,提出仿真模型组件化设计的建模方法、采用"方案-单元-实体-组件"方式的模型管理机制以及采用事件驱动、事件订购和分发方式的模型交互机制。