Command filtered integrated estimation guidance and control for strapdown missiles with circular field of view

In this paper,an integrated estimation guidance and control(IEGC)system is designed based on the command filtered backstepping approach for circular field-of-view(FOV)strapdown missiles.The threedimensional integrated estimation guidance and control nonlinear model with limited actuator deflection angle is established considering the seeker's FOV constraint.The boundary time-varying integral barrier Lyapunov function(IBLF)is employed in backstepping design to constrain the body line-of-sight(BLOS)in IEGC system to fit a circular FOV.Then,the nonlinear adaptive controller is designed to estimate the changing aerodynamic parameters.The generalized extended state observer(GESO)is designed to estimate the acceleration of the maneuvering targets and the unmatched time-varying disturbances for improving tracking accuracy.Furthermore,the command filters are used to solve the"differential expansion"problem during the backstepping design.The Lyapunov theory is used to prove the stability of the overall closed-loop IEGC system.Finally,the simulation results validate the integrated system's effectiveness,achieving high accuracy strikes against maneuvering targets.

基于Command and Control通信信道流量属性聚类的僵尸网络检测方法

僵尸网络(Botnet)是一种从传统恶意代码形态进化而来的新型攻击方式,为攻击者提供了隐匿、灵活且高效的一对多命令与控制信道(Command and Control channel,C&C)机制,可以控制大量僵尸主机实现信息窃取、分布式拒绝服务攻击和垃圾邮件发送等攻击目的。该文提出一种与僵尸网络结构和C&C协议无关,不需要分析数据包的特征负载的僵尸网络检测方法。该方法首先使用预过滤规则对捕获的流量进行过滤,去掉与僵尸网络无关的流量;其次对过滤后的流量属性进行统计;接着使用基于X-means聚类的两步聚类算法对C&C信道的流量属性进行分析与聚类,从而达到对僵尸网络检测的目的。实验证明,该方法高效准确地把僵尸网络流量与其他正常网络流量区分,达到从实际网络中检测僵尸网络的要求,并且具有较低的误判率。

Adaptive optimization of agile organization of command and control resource

Adaptive optimization is one of the means that agile organization of command and control resource （AOC2R） adapts for the dynamic battlefield environment. A math model of the adaptive optimization of AOC2R is put forward by analyzing the interrelating concept and research. The model takes the adaptive process as a multi-stage decision making problem. The 2-phases method is presented to calculate the model, which obtains the related parameters by running the colored Petri net （CPN） model of AOC2R and then searches for the result by ant colony optimization （ACO） algorithm integrated with genetic optimization techniques. The simulation results demonstrate that the proposed algorithm greatly improves the performance of AOC2R.

Command and Control Cities in Global Space-economy Before and after 2008 Geo-economic Transition

The global economic downturn caused primarily by the US sub-prime mortgage crisis in 2007 engendered revenue loss of the multinational corporations. Existing studies have yet to depict the detrimental impacts on city＇s command and control functions induced by the sub-prime mortgage crisis together with its residual wave of global economic recession on the global spatial economy. Recent and previous studies have produced an ＇instant history＇ of the global spatial economy before the global economic downturn undermines the global economy in late 2008. How- ever, the waxes and wanes of major cities＇ command and control functions on the global economic arena before and after the outbreak of financial crisis and its associated geo-economic transitions are still poorly understood. This paper attempts to contribute a new set of customized data to update and fill in the gap in the literature with the investigation of the command and control functions of cities arotmd the world from 2005 to 2009. Particular attentions are paid to the time-space relationship of the geo-economic transition that can capture the recent historical images of the com- mand and control situation of different cities in the world.

Research on the effects of command-and-control and market-oriented policy tools on China's energy conservation and emissions reduction innovation

The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis(PH). However, there are still controversies in academia about the establishment of "weak" and "narrow" versions of PH. Based on the panel data of application for patent of energy conservation and emission reduction(ECER) technology of Chinese city scale during 2008-2014, comprehensive energy price, pollutant emission, etc., mixed regression model and systematic generalized method of moments method were adopted, respectively,to study the impact of market-oriented and command-and-control policy tool on China's ECER technology innovation. The results show that the environmental regulation hindered the technological innovation in the immediate phase; however, it turned out to be positive in the first-lag phase. Hence, the establishment of "weak" PH is time-bounded. The command-and-control policy tool played a more positive role in promoting technological innovation in the first-lag phase than market-oriented policy tool. Therefore, "narrow" PH is not tenable. The reason is that the main participants of China's ECER technology innovation are state-owned companies and public institutions. Regionally speaking, the impact which command-and-control policy tool has on technological innovation at sight was nonsignificant in the eastern, the central, and the western regions of China whilst market-oriented policy tool had a negative effect. And market-oriented policy tool in the central region had strongest negative effect, which would diminish in the eastern region and become weakest in the western region. This was related to regional energy consumption level and the market economic vitality.

Experimental Study of a Modified Command Governor Adaptive Controller for Depth Control of an Unmanned Underwater Vehicle

Command governor–based adaptive control(CGAC)is a recent control strategy that has been explored as a possible candidate for the challenging task of precise maneuvering of unmanned underwater vehicles(UUVs)with parameter variations.CGAC is derived from standard model reference adaptive control(MRAC)by adding a command governor that guarantees acceptable transient performance without compromising stability and a command filter that improves the robustness against noise and time delay.Although simulation and experimental studies have shown substantial overall performance improvements of CGAC over MRAC for UUVs,it has also shown that the command filter leads to a marked reduction in initial tracking performance of CGAC.As a solution,this paper proposes the replacement of the command filter by a weight filter to improve the initial tracking performance without compromising robustness and the addition of a closed-loop state predictor to further improve the overall tracking performance.The new modified CGAC(M-CGAC)has been experimentally validated and the results indicate that it successfully mitigates the initial tracking performance reduction,significantly improves the overall tracking performance,uses less control force,and increases the robustness to noise and time delay.Thus,M-CGAC is a viable adaptive control algorithm for current and future UUV applications.

基于预训练大模型的行动方案生成方法

围绕生成式人工智能赋能指挥决策需求,分析了指挥决策中方案生成问题的难点挑战和新兴预训练大语言模型技术的应用前景,提出了一种基于预训练大模型的作战行动方案生成方法——COA-Gen。首先,为了使生成的行动方案符合目标,设计了多轮方案生成框架;其次,构建了多要素中文提示词模板用于整合海量多源信息;最后,针对特定小领域的数据缺乏问题,引入知识增强技术以提升大模型规划效能。为了验证所提行动方案的效果,制定了基于《星际争霸II》游戏引擎和“虎爪”想定的方案验证环境。实验结果表明,该方法具有较好的鲁棒性,可以较好地依从指挥员意图,验证了大模型用于作战行动方案生成的可行性。此外,不同预训练大模型在相同任务中展现出不同的效果,表明在实际应用中选择不同的预训练大模型可能会生成具有不同风格的行动方案,从而影响最终的行动结果。

基于Command模式的CSCW系统访问控制研究

针对CSCW系统的特点及其对用户访问控制的特殊要求,本文在RBAC(基于角色的访问控制)模型的基础上进行了优化,并引入Command设计模式,设计并实现了分级、细粒度的权限管理模型。该模型结合用户权限驱动的动态多级导航,在很大程度上提高了CSCW系统的易用性。系统的实现基于统一的基类,大大提高了代码复用,几乎无需修改现有程序就可以把本系统无缝的集成到现有CSCW系统中。实验证明,该方案不仅可以满足大中型CSCW系统对权限管理的需求,而且能随组织结构或安全需求的变化而变化,具有很好的灵活性和可操作性。

Commander SK变频驱动器在摆频控制中的应用

根据纺织摆频的特性,结合CT公司的Commander SK变频器所具备的独特的功能,对Commander SK变频驱动器在纺织摆频控制上的应用进行了研究,并找到一种简单可靠的摆频控制解决方案。

Commander SK变频驱动器在摆频控制中的应用

根据纺织摆频的特性,结合CT公司的Commander SK变频器所具备的独特的功能,对Commander SK变频驱动器在纺织摆频控制上的应用进行了研究,并找到一种简单可靠的摆频控制解决方案。

无人空战指控建模仿真方法研究

针对当前无人空战仿真中,缺乏支持全流程作战指挥控制建模与仿真这一问题,结合当前无人空战仿真系统相关研究,系统梳理和研究指控模型构建方法,通过探索不同仿真层级不同类型的无人机指挥控制建模原理和方法,设计并且构建了一套适合指挥信息系统装备特点的指控模型仿真系统。通过进行符合预设约束的想定设定,对目标作战任务进行了效能评估和对比,可为无人空战相关指挥信息系统装备的论证、评估方式提供理论和现实指导。

跨域杀伤网架构及其技术分析

在全域作战理论推动下,杀伤链正向更加复杂、更加多维的杀伤网发展。从作战概念入手,分析了杀伤网的运行特点,针对全域作战中跨域杀伤网构建问题,提出了体系能力服务平台+作战应用的系统架构,设计了相关智能体的职责分配和信息交互方法;从杀伤网构建和效能优化的角度,提出了基于作战资源可识别、可定义及可组合的能力生成机理,并对作战资源调用的合作博弈机制进行了探讨。最后,从技术实现角度,提出了智能体构建及智能体参数选择的方法,并分析了人工智能技术在跨域杀伤网构建过程中的赋能作用。

数字孪生永定河建设实践

数字孪生永定河建设是流域治理管理现代化的主要标志。围绕永定河生态修复与治理,构建数字孪生永定河,建设水利感知、数据底板、模型平台、知识平台、业务应用等内容,相关成果应用于永定河全年全线有水的生态水量调度与海河“23·7”流域性特大洪水的防洪调度,取得了初步成效。建议下一步从完善数据底板、完善防洪模型、提升防洪“四预”能力、提升水资源调度“四预”能力等方面加强数字孪生永定河建设,助力流域治理管理现代化。

Optimal Distribution of N-Team Interacting Decision Makers with Hierarchical Command Inputs That Are Predicated on Order Statistics

The spectral analysis of simulated N-team of interacting decision makers with bounded rationality constraints of Oladejo, which assumes triangular probability density function of command inputs is hereby restructured and analysed, to have hierarchical command inputs that are predicated on order statistics distributions. The results give optimal distributions.

异质性环境规制对企业差异化绿色创新行为的影响——知识搜寻的中介作用

环境规制与绿色创新的关系一直备受争议,这可能与多数文献忽视环境规制(命令型与市场型)与绿色创新(策略性与实质性)的双重异质性有关。基于制度理论与知识管理理论,构建“环境规制—知识搜寻—企业绿色创新”理论框架,综合运用多元线性回归与模糊集定性比较分析(fsQCA)方法,采用285份企业调查问卷验证研究假设。结果显示:命令型环境规制仅能促进策略性绿色创新,市场型环境规制仅能促进实质性绿色创新;知识搜寻深度在命令型环境规制与策略性绿色创新间发挥中介作用,知识搜寻广度在市场型环境规制与实质性绿色创新间发挥中介作用。进一步地,通过fsQCA分析得到5种前因构型,其中,高策略性绿色创新与高实质性绿色创新的组态路径分别有2条和3条。结论可拓展环境规制对企业绿色创新影响的研究维度,并为政府调整环境规制政策、企业应对外部制度压力提供参考。

不平衡数据下基于SVM增量学习的指挥信息系统状态监控方法

针对指挥信息系统历史状态样本有限的特点,基于支持向量机(support vector machines,SVM)设计了一种面向不平衡数据的SVM增量学习方法。针对系统正常/异常状态样本不平衡的情况,首先利用支持向量生成一部分新样本,然后通过分带的思想逐带产生分布更加均匀的新样本以调节原样本集的不平衡比。针对系统监控实时性要求高且在运行过程中会有新样本不断加入的特点,采用增量学习的方式对分类模型进行持续更新,在放松KKT(Karush-Kuhn-Tucker)更新触发条件的基础上,通过定义样本重要度并引入保留率和遗忘率的方式减少了增量学习过程中所需训练的样本数量。为了验证算法的有效性和优越性,实验部分在真实系统中获得的数据集以及UCI数据集中3类6组不平衡数据集中与现有的算法进行了对比。结果表明,所提算法能够有效实现对不平衡数据的增量学习,从而满足指挥信息系统状态监控的需求。

C2SIM互操作标准发展关键问题研究

针对联合作战信息交换需求和多军兵种作战数据互联互通问题,采用指挥控制系统与仿真系统之间交互性标准(command and control systems-simulation systems interoperation,C2SIM)标准指导实现指挥控制系统、仿真系统和无人系统之间的高效互操作。概述C2SIM的地位、作用和开发概况;介绍C2SIM逻辑数据模型开发方法;从C2SIM核心本体、领域本体扩展、本体到XML Schema的转换和参考实现等方面,分析C2SIM的关键技术问题;探讨C2SIM标准在北约近年中实兵演习中的应用情况;总结C2SIM的发展和影响,为我军标准化互操作技术的构建提供方法和技术上的启发和借鉴。结果表明,该研究可有效提高军事信息系统的开发能力和质量。

相依指挥控制网络耦合策略研究

指挥控制网络的层次关联复杂、通信链路交错等特点,使其表现出明显的多网相依特征。针对现有相依边的研究方法难以有效表达网络的耦合关系,通过研究基于节点介数的相依强度、基于桥接系数的链路均衡性指数,提出基于相依强度与链路均衡性的相依指挥控制网络耦合策略,仿真验证表明该策略提高了网络抗级联失效能力。

基于改进虚拟惯性控制的直流充电桩控制方法

直流充电桩充电速度快、效率高的优点使得电动汽车负载可以频繁投切,但其作为直流系统具有惯性小、阻尼弱的特点。为降低电动汽车负载投切对直流侧电压扰动的影响,文中提出一种基于改进虚拟惯性(virtual inertia,VI)控制的直流充电桩控制方法。首先,类比虚拟同步机(virtual synchronous machine,VSM)技术推出VI控制,赋予直流系统一定的惯性与阻尼支撑。其次,采用指令滤波反推积分滑模(command filter backstepping integral sliding mode,CFBISM)控制对VI控制进行改进,即采用积分滑模(integral sliding mode,ISM)控制优化VI控制,增强系统的鲁棒性,并采用指令滤波反推控制对其中关键参数进行重构,避免控制器出现计算膨胀现象,同时对电流内环采用改进ISM控制从而进一步提升控制效果。然后,通过Lyapunov稳定性判据证明所提控制方法的稳定性。最后,通过仿真对比验证了文中所提控制方法可将直流侧电压波动限制在2 V以内,动态响应速度提高约0.1 s,关键参数在稳态时的扰动限制在1 V左右,从而验证了其响应速度快、鲁棒性好的特性。

两栖登陆垂直投送指挥控制效能评估模型研究

为破解两栖垂直突击上陆指挥控制作战效能评估难题,从分析垂直突击上陆指挥控制的特点入手,在此基础上分四个步骤建立指挥控制效能评估模型。首先,对指挥控制要素进行抽象分类;其次,分析要素之间以及要素内部的影响关系;然后抽取关键环节,形成评估要点;最后,采用定性与定量相结合,仿真试验评估与实兵验证相结合的方法进行评估。该模型可为指挥控制评估提供方法支撑。