非线性边值问题的一种高精度计算模型

讨论非线性边值问题的一种高精度计算模型 .利用积分值将边值问题转化为形式初值问题 ,构造了一类四阶精度的计算格式 ,证明了收敛性 .通过算例表明该方法收敛速度高 ,计算量小 .     

基于劣化度的装备健康状态评估模型

为了准确评估装备的健康状态,实施装备的状态维修,引入劣化度概念,结合装备的特点,确定了以装备特征参数劣化度为评估指标,运用变权模糊理论,建立了基于劣化度的装备健康状态变权模糊综合评估模型。结合地空导弹装备实际工作,进行了实例分析,验证了该方法的准确性和有效性。     

一种新型军用电源智能充电机控制算法

军用电源充电机是一个多参数、时变的非线性系统,传统的PID控制算法难以在线调节达到优化充电曲线的目的。针对该问题,提出了一种基于模糊和免疫机理的自适应PID控制算法。该算法通过模糊免疫反馈机理对PID控制的比例系数进行实时调整,采用模糊自适应控制器对PID控制的微分、积分时间常数进行在线整定。仿真结果表明,该算法具有响应时间短、超调量小,鲁棒性强等特点,极大地改善了系统的适应能力,达到了优化充电曲线的目的。     

一种新的基于粗糙集的连续属性离散化算法

粗糙集理论作为一种新的处理含糊和不确定性问题的数学工具,已成为国际学术界的一个前沿的研究领域.传统的粗糙集理论只能对数据库中的离散属性进行处理,而绝大多数现实的数据库既包含了离散属性,又包含了连续属性.针对传统粗糙集理论的这一缺陷,提出了一种改进的基于断点重要性的属性离散化方法.最后,通过实例分析说明该方法是有效的.     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

一种应用于移动机器人的路径跟踪控制方法

针对移动机器人的路径跟踪复杂性问题,设计了一种易于实现的控制系统,其中的跟踪策略改进了传统的视线导航算法,使机器人光滑趋近到期望路径,控制器的设计采用基于模糊逻辑的变速度控制和角速度滑模控制,减小了角速度的抖振,并使控制具有一定的智能化特点.实验结果表明,设计的控制系统即可以保证路径跟踪的精度,同时避免了运动控制的不稳定性.     

基于模糊数学的火险探测系统设计

针对火灾探测的特点和误报、漏报等问题,提出基于模糊逻辑论的数据融合算法,以提高火灾探测的准确性。运用单片机技术,设计了火灾探测系统的软硬件构成,并通过dsPIC与上位机的串行通信,实现了火情的距离监测。     

天地预警系统与机敏传感信息网

建立高效的天地预警系统对于赢得现代立体战争的胜利有着极其重要的意义。探讨了天地预警系统与机敏传感信息网 (Sm art Sensor Web)的构成 ,结合我国的部分研究现状 ,较详细地阐述了设计与构造天地预警系统所需解决的若干关键技术问题。     

Periodic review inventory management with contingent use of two freight modes with fixed costs

We study a stochastic inventory model of a firm that periodically orders a product from a make‐to‐order manufacturer. Orders can be shipped by a combination of two freight modes that differ in lead‐times and costs, although orders are not allowed to cross. Placing an order as well as each use of each freight mode has a fixed and a quantity proportional cost. The decision of how to allocate units between the two freight modes utilizes information about demand during the completion of manufacturing. We derive the optimal freight mode allocation policy, and show that the optimal policy for placing orders is not an (s,S) policy in general. We provide tight bounds for the optimal policy that can be calculated by solving single period problems. Our analysis enables insights into the structure of the optimal policy specifying the conditions under which it simplifies to an (s,S) policy. We characterize the best (s,S) policy for our model, and through extensive numerical investigation show that its performance is comparable with the optimal policy in most cases. Our numerical study also sheds light on the benefits of the dual freight model over the single freight models. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于多目标模糊决策模型的联合作战方案优选

为选择作战方案中的最优方案,对所有的方案进行了排序,依据定性准则和定量的数学模型,利用多目标模糊决策分析方法,对联合作战方案的相关因素进行了分析,综合评价出各方案的优劣程度,最后得到了较为合理的作战方案先后顺序.