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Weapon configuration, allocation and route planning with time windows for multiple unmanned combat air vehicles

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Journal of Systems Engineering and Electronics 2018年第5期29卷 953-968页

作者： ZHANG Jiaming LIU Zhong shi jianmai CHEN Chao Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology

Unmanned combat air vehicles(UCAVs) mission planning is a fairly complicated global optimum problem. Military attack missions often employ a fleet of UCAVs equipped with weapons to attack a set of known targets. A UCAV can carry different weapons to accomplish different combat missions. Choice of different weapons will have different effects on the final combat effectiveness. This work presents a mixed integer programming model for simultaneous weapon configuration and route planning of UCAVs, which solves the problem optimally using the IBM ILOG CPLEX optimizer for simple missions. This paper develops a heuristic algorithm to handle the medium-scale and large-scale problems. The experiments demonstrate the performance of the heuristic algorithm in solving the medium scale and large scale problems. Moreover, we give suggestions on how to select the most appropriate algorithm to solve different scale problems.

关键词： unmanned combat air vehicles(UCAVs) mission planning route planning weapon configuration time windows

Modeling and solution based on stochastic games for development of COA under uncertainty

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Journal of Systems Engineering and Electronics 2019年第2期30卷 288-296页

作者： CHEN Chao DU Zhengjun LIANG Xingxing shi jianmai ZHANG Hao Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Unit 61683 of the PLA Naval War Gaming Center Naval Command College

Developing a course of action(COA) is a key step in military planning. In most extant studies on the COA development,only the unilateral actions of friendly forces are considered. Based on stochastic games, we propose models that could deal with the complexities and uncertainties of wars. By analyzing the equilibrium state of both opponent sides, outcomes preferable to one side could be achieved by adopting the methods obtained from the proposed models. This research could help decision makers take the right COA in a state of uncertainty.

关键词： course of action (COA) uncertainty of antagonism outcomes stochastic games

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基于多目标进化算法的防空导弹武器目标分配

系统仿真学报 2024年第6期36卷 1298-1308页

作者：孙昕邢立宁王锐王凌石建迈罗天羽国防科技大学系统工程学院湖南长沙410073 西安电子科技大学电子工程学院陕西西安710126 清华大学自动化系北京100084

有效的武器目标分配(weapon-target assignment,WTA)方法对减少作战损失,提高防御效果具有重要意义。针对防空资源分配问题建立合理的数学模型,以最大化目标毁伤效能和最小化雷达资源消耗为优化目标,同时考虑雷达通道数上限等多个约束,... 详细信息

有效的武器目标分配(weapon-target assignment,WTA)方法对减少作战损失,提高防御效果具有重要意义。针对防空资源分配问题建立合理的数学模型,以最大化目标毁伤效能和最小化雷达资源消耗为优化目标,同时考虑雷达通道数上限等多个约束,在基于分解的多目标进化算法(multi-objective evolutionary algorithm based on decomposition,MOEA/D)基础上进行改进,种群进化过程中自适应调整交叉与变异的概率以提高个体的质量,最终得到一组可供决策者使用的最优解集。实验结果表明:与其他多目标进化算法相比,该算法能得到适应度更高且分布性良好的结果,能够为防空导弹武器目标分配问题提供可行方案。

关键词：武器目标分配多目标进化算法自适应参数防空导弹

基于改进差分进化算法的动态防空资源分配优化

同方期刊数据库博看期刊评论

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系统仿真学报 2024年第6期36卷 1285-1297页

作者：罗天羽邢立宁王锐王凌石建迈孙昕国防科技大学系统工程学院湖南长沙410073 西安电子科技大学电子工程学院陕西西安710071 清华大学自动化系北京100084

面对动态防空资源分配问题中存在的空袭目标突现和雷达、发射车等资源受干扰现象,在综合考虑雷达、发射车和导弹等武器装备性能的基础上,基于目标集、资源集建立了最小化目标总拦截价值与生存概率的混合整数决策模型。提出了一种新的改... 详细信息

面对动态防空资源分配问题中存在的空袭目标突现和雷达、发射车等资源受干扰现象,在综合考虑雷达、发射车和导弹等武器装备性能的基础上,基于目标集、资源集建立了最小化目标总拦截价值与生存概率的混合整数决策模型。提出了一种新的改进差分进化算法进行求解,采用反向学习策略生成初始解,确保初始种群的质量,设计了一种快速修复与重构的启发式规则作用于多阶段,以提升算法的搜索能力。仿真实验验证了该算法具有求解时间和求解精度上的优越性。该研究能使武器系统在动态事件的随机影响下,保持高效的作战能力和决策效果。

关键词：防空作战动态防空资源分配反向学习改进差分进化算法

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COORDINATING PRODUCTION AND RECYCLING DECISIONS WITH STOCHASTIC DEMAND AND RETUR

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Journal of Systems Science and Systems Engineering 2010年第4期19卷 385-407页

作者： jianmai shi Guoqing ZHANG Jichang SHA Saman Hassanzadeh AMIN School of Information System and Management National University of Defense Technology Changsha Hunan China Department of Industrial and Manufacturing Systems Engineering University of Windsor Windsor Ontario Canada

In this paper, the joint production and recycling problem is investigated for a hybrid manufacturing and remanufacturing system where brand-new products are produced in the manufacturing plant and recycled products are remanufactured into as-new products in the remanufacturing facility. Both the brand-new products and remanufactured products are used to satisfy customer demands. Returns of used products that are recycled from customers are assumed to be stochastic and nonlinearly price-dependent. A mathematical model is proposed to maximize the overall profit of the system through simultaneously optimizing the production and recycling decisions, subject to two capacity constraints ？ the manufacturing capacity and the remanufacturing capacity. Based on Lagrangian relaxation method, subgradient algorithm and heuristic algorithm, a solution approach is developed to solve the problem. A representative example is presented to illustrate the system, and managerial analysis indicates that the uncertainties in demand and return have much influence on the production and recycling policy. In addition, twenty randomly produced examples are solved, and computational results show that the solution approach can obtain very good solutions for all examples in reasonable time.

关键词： Closed loop supply chain uncertain demand uncertain return reverse logistics Lagrangian relaxation

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车载多无人机协同多区域覆盖路径规划方法

系统工程与电子技术 2023年第5期45卷 1380-1390页

作者：刘瑶夏阳升石建迈陈超黄金才国防科技大学系统工程学院湖南长沙410073

针对小型无人机在区域信息采集中的优势,考虑到复杂多变的应用情景,提出一种面向大面积多区域覆盖扫描任务的车载多无人机协同模式。该模式中,车辆可作为无人机的移动基站,与多架无人机协同完成多个大面积区域的覆盖扫描任务。充分分析... 详细信息

针对小型无人机在区域信息采集中的优势,考虑到复杂多变的应用情景,提出一种面向大面积多区域覆盖扫描任务的车载多无人机协同模式。该模式中,车辆可作为无人机的移动基站,与多架无人机协同完成多个大面积区域的覆盖扫描任务。充分分析新问题特点后,建立了优化车辆地面行驶路径和多无人机协同空中飞行路径的01整数规划模型,提出了一种基于三阶段的智能优化算法,先后对多无人机区域覆盖路径以及车辆协同路径进行规划,快速构造可行解,而后基于自适应大规模邻域搜索算法对可行解进行优化。本文设计了包含8个目标区域的实际案例,验证了车载多无人机协同模式的优势和算法有效性,并进一步通过10个随机案例验证了算法性能。对比实验证明,车载多无人机协同模式在执行多个大面积区域覆盖任务上,相比车载单无人机模式能够显著缩短任务时间。

关键词：多无人机协同路径规划区域覆盖启发式算法

武器目标分配问题研究进展:模型、算法与应用

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系统工程与电子技术 2023年第4期45卷 1049-1071页

作者：李梦杰常雪凝石建迈陈超黄金才刘忠国防科技大学系统工程学院湖南长沙410073

武器目标分配问题是指挥控制与任务规划领域的关键难点之一,也是军事运筹领域的基础研究课题。经过多年研究,武器目标分配问题在陆海空天电等领域都得到了广泛研究,涌现出了大量模型和算法。系统梳理武器目标分配问题的典型作战样式、... 详细信息

武器目标分配问题是指挥控制与任务规划领域的关键难点之一,也是军事运筹领域的基础研究课题。经过多年研究,武器目标分配问题在陆海空天电等领域都得到了广泛研究,涌现出了大量模型和算法。系统梳理武器目标分配问题的典型作战样式、建模方法、求解算法和实验验证,掌握当前该领域的研究现状,在此基础上,结合智能化、无人化战争带来的新挑战,分析武器目标分配的发展趋势,为后续研究提供参考。

关键词：武器目标分配模型算法综述

基于匈牙利-模拟退火算法的多阶段武器目标分配方法

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系统工程与电子技术 2023年第11期45卷 3507-3514页

作者：常雪凝石建迈陈超黄金才国防科技大学系统工程学院湖南长沙410003

针对现代化战争中远程精确制导武器成本高昂以及武器发射平台数量有限的问题,研究了多阶段武器目标分配问题,以最小化武器成本为优化目标,建立了混合整数非线性规划模型。设计了一种集成匈牙利和模拟退火的混合智能搜索算法,首先根据待... 详细信息

针对现代化战争中远程精确制导武器成本高昂以及武器发射平台数量有限的问题,研究了多阶段武器目标分配问题,以最小化武器成本为优化目标,建立了混合整数非线性规划模型。设计了一种集成匈牙利和模拟退火的混合智能搜索算法,首先根据待攻击目标的时空状态与毁伤特性确定打击阶段、标记可松弛性。在模拟退火的框架下,基于目标的松弛性调整攻击阶段,再通过匈牙利算法计算每个阶段武器和目标的精确匹配方案。通过启发式算法和精确求解技术的结合,在保证求解质量的前提下,极大减少了计算时间。通过计算实验,与变邻域搜索算法进行了对比分析,验证了该算法在求解多阶段武器目标分配问题的有效性。仿真结果表明,所提算法在计算时间和求解效果上优于变邻域搜索算法。

关键词：武器目标分配多阶段匈牙利算法模拟退火算法

Quantization and Event-Triggered Policy Design for Encrypted Networked Control

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 946-955页

作者： Yongxia shi Ehsan Nekouei the Department of Electrical Engineering City University of Hong KongHong KongChina

This paper proposes a novel event-driven encrypted control framework for linear networked control systems(NCSs),which relies on two modified uniform quantization policies,the Paillier cryptosystem,and an event-triggered strategy.Due to the fact that only integers can work in the Pailler cryptosystem,both the real-valued control gain and system state need to be first quantized before encryption.This is dramatically different from the existing quantized control methods,where only the quantization of a single value,e.g.,the control input or the system state,is considered.To handle this issue,static and dynamic quantization policies are presented,which achieve the desired integer conversions and guarantee asymptotic convergence of the quantized system state to the equilibrium.Then,the quantized system state is encrypted and sent to the controller when the triggering condition,specified by a state-based event-triggered strategy,is satisfied.By doing so,not only the security and confidentiality of data transmitted over the communication network are protected,but also the ciphertext expansion phenomenon can be relieved.Additionally,by tactfully designing the quantization sensitivities and triggering error,the proposed event-driven encrypted control framework ensures the asymptotic stability of the overall closedloop system.Finally,a simulation example of the secure motion control for an inverted pendulum cart system is presented to evaluate the effectiveness of the theoretical results.

关键词： Cyber-security encrypted control event-triggered control(ETC) networked control systems(NCSs) semi-homomorphic encryption