共查询到19条相似文献,搜索用时 171 毫秒
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武器装备体系需求建模过程充满了不确定性,而体系需求建模的质量直接影响到需求模型的有效性和可靠性,最终影响待建武器装备体系的构建效果。在重点分析武器装备体系需求建模利益相关者和需求建模内容中存在的不确定性因素的基础上,提出了一种基于贝叶斯网络(BN)的武器装备需求建模质量评价方法。该方法在充分利用专家知识和统计数据的基础上,利用BN的状态描述与推理机制,可以有效描述、处理体系需求建模过程中出现的不确定性问题;并且利用BN的诊断推理可以找出影响建模质量的关键因素组合。最后通过仿真实例对方法进行了验证。 相似文献
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基于DoDAF的武器装备体系需求分析方法 总被引:2,自引:0,他引:2
武器装备体系是为提供预期能力而组合在一起的相互依赖的武器装备系统的集合,武器装备体系需求分析是当前装备需求论证的热点和难点问题.在简要分析了武器装备体系需求研究现状的基础上,通过对比结构化分析方法和面向对象分析方法的优缺点,提出综合利用两类方法,基于DoDAF标准进行体系需求组合建模的基本思路和基本步骤,从体系的角度实现作战需求向装备需求的映射,对如何进一步完善体系需求分析方法提出针对性的建议. 相似文献
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基于多视图的武器装备体系需求分析方法 总被引:1,自引:0,他引:1
为了有效、正确地进行武器装备体系需求分析,提出基于多视图的武器装备体系需求分析方法。该方法以多视图方法论的思想为基础,提出武器装备体系的需求描述框架,该框架包括能力需求、装备需求和保障需求等三个视图,每个视图又包括一系列的产品;介绍武器装备体系需求的分析过程,并分析每个过程的含义和任务。 相似文献
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武器装备体系(weapon system of systems,WSoS)能力规划是武器装备体系研究的重要内容.履行使命任务时,可出动的兵力以及携行可支撑能力的武器装备数量是有限的,对此,提出一种基于效能价值的武器装备体系能力规划方法.统筹考虑作战中各项任务能力需求,结合支撑不同能力的武器装备与相应装备数量之间的关系,快速给出不同规模部队的能力规划方案.以使命任务为牵引,分析能力需求,建立归一化作战能力效能模型;基于前景理论(prospect theory),给出考虑风险因素的作战能力效能价值函数;以装备单位数量为约束变量,构建基于效能价值的体系能力规划模型,对其求解可得出使体系效能价值最大的武器装备能力规划方案.最后,以武警部队担负的反恐处突作战任务为例,验证所提出方法的可行性和有效性. 相似文献
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研究现代战争正向着多样化、体系化的方向发展,针对战争的不可实验性和现代武器装备体系的复杂性,武器装备体系的效能难以进行合理有效的评估和验证。为解决评估问题,提出了很多种不同的方法,提出的将指数方法应用在武器装备体系的效能评估中。通过对杜派指数方法的深入分析和研究,通过建立陆军武器装备体系效能评估指数方案,并将方案经多维模糊推理模型应用在武器装备体系效能的评估上。经过仿真软件的多次运行验证,证明方法是可用可信的。 相似文献
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自行火炮维修决策专家系统的设计与实现 总被引:2,自引:0,他引:2
为解决传统故障诊断方法在装备维修保障方面的不足,将故障预测引入到装备维修保障领域,提出了基于动态模糊综合评判的故障预测模型。基于动态隶属度对服役期间故障的发生、发展和系统性能下降的动态变化过程进行描述.给出了动态权重矩阵、动态隶属度的确定方法和常见的隶属函数。并以火炮反后坐装置为例对预测过程予以说明,证明了该方法的有效性和实用性。 相似文献
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以实际作战体系为研究对象, 以复杂网络理论和现代作战循环理论为理论基础对作战体系的建模和评估方法进行研究, 首先提出一种基于功能作战模型的IDFCS (investigation, decision, fire, communication, and support)作战体系建模方法及该模型的生成算法, 从更贴近实际、更为精细的角度对体系节点的能力和作战体系规律进行定量描述; 其次根据作战环理论提出基于IDFCS模型的体系效能评估方法和节点重要度评估方法, 充分利用节点能力属性对作战体系效能进行定量分析; 最后利用提出的模型生成算法生成不同规模的作战体系样本网络, 并对其进行效能评估, 为针对体系作战的进一步深入研究提供理论支撑. 相似文献
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The presence of uncertainties in manufacturing systems and supply chains can cause undesirable behavior. Failure to account for these in the design phase can further impair the capability of systems to respond to changes effectively. In this work, we consider a dynamic workforce-inventory control problem wherein inventory planning, production releases, and workforce hiring decisions need to be made. The objective is to develop planning rules to achieve important requirements related to dynamic transient behavior when system parameters are imprecisely known. To this end, we propose a resilience optimization model for the problem and develop a novel local search procedure that combines the strengths of recent developments in robust optimization technology and small signal stability analysis of dynamic systems. A numerical case study of the problem demonstrates significant improvements of the proposed solution in controlling fluctuations and high variability found in the system’s inventory, work-in-process, and workforce levels. Overall, the proposed model is shown to be computationally efficient and effective in hedging against model uncertainties. 相似文献
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Chih-Lyang Hwang Chia-Ying Kuo 《Fuzzy Systems, IEEE Transactions on》2001,9(2):238-252
In this paper, a stable adaptive fuzzy sliding-mode control for affine highly nonlinear systems is developed. First, the external part of a transformed system via a feedback linearizing control evolves a linear dynamic system with uncertainties. A reference model with the desired amplitude and phase properties is given to obtain an error model. Since the uncertainties are assumed to be large, a fuzzy model is employed to model these uncertainties. A learning law with e-modification for the weight of a fuzzy model is considered to ensure the boundedness of learning weight without the requirement of persistent excitation condition. Then, an equivalent control using the known part of system dynamics and the learning fuzzy model is designed to achieve the desired control behavior. Furthermore, the uncertainties caused by the approximation of fuzzy model and the error of learning weight are tackled by a switching control. Finally, the stability of the overall system is verified by the Lyapunov theory. Simulations and experiments of the velocity control of a four-bar-linkage system are presented to verify the usefulness of the proposed control 相似文献
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Lu Liu Duncan Russell Jie Xu David Webster Zongyang Luo Colin Venters John K. Davies 《Simulation Modelling Practice and Theory》2009,17(8):1430-1442
Network Enabled Capability (NEC) is the UK Ministry of Defence’s response to the quickly changing conflict environment in which its forces must operate. In NEC, systems need to be integrated in context, to assist in human activity and provide dependable inter-operation. In this paper, we present our research work in the NECTISE project with a focus on the modelling and simulation of service-oriented architecture (SOA) for delivering dependable and sustainable military capability. The simulation results indicate that the proposed architectural model can provide a high-level of reliability and sustainability in the provision of capability in a dynamic environment. Moreover, a NEC demonstration system for regional surveillance is introduced in this paper to illustrate the use of SOA to achieve NEC. 相似文献
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An adaptive recurrent-neural-network motion controller for X-Y table in CNC machine. 总被引:1,自引:0,他引:1
Faa-Jeng Lin Hsin-Jang Shieh Po-Huang Shieh Po-Hung Shen 《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》2006,36(2):286-299
In this paper, an adaptive recurrent-neural-network (ARNN) motion control system for a biaxial motion mechanism driven by two field-oriented control permanent magnet synchronous motors (PMSMs) in the computer numerical control (CNC) machine is proposed. In the proposed ARNN control system, a RNN with accurate approximation capability is employed to approximate an unknown dynamic function, and the adaptive learning algorithms that can learn the parameters of the RNN on line are derived using Lyapunov stability theorem. Moreover, a robust controller is proposed to confront the uncertainties including approximation error, optimal parameter vectors, higher-order terms in Taylor series, external disturbances, cross-coupled interference and friction torque of the system. To relax the requirement for the value of lumped uncertainty in the robust controller, an adaptive lumped uncertainty estimation law is investigated. Using the proposed control, the position tracking performance is substantially improved and the robustness to uncertainties including cross-coupled interference and friction torque can be obtained as well. Finally, some experimental results of the tracking of various reference contours demonstrate the validity of the proposed design for practical applications. 相似文献