基于最优分离矩阵循环迭代的盲源分离次序调整算法

文章针对盲源分离中输出信号帧与帧之间信号衔接顺序的不确定性问题,提出了最优分离矩阵循环迭代算法,将每帧信号分离时目标函数寻优所得分离矩阵作为下一帧循环的初始化矩阵进行迭代来分离信号。理论分析与计算机仿真表明:该算法能有效解决盲分离中信号次序的不确定性问题,具有较强的实际应用价值。     

某型发电机可靠性试验系统研究

为了对某型发电机进行可靠性试验,根据试验需求,设计了带能量反馈的试验系统。该系统与发电机输出带纯电阻性负载方案相比,大大节约了试验的耗电量,并利用仿真软件PSCAD/EMTDC建立了试验系统的仿真模型,对系统在不同扰动下的动态特性进行了仿真研究。仿真结果与试验结果相吻合,说明所建试验系统模型的正确性,也得出了该试验系统具有良好的运行稳定性的结论。     

弹载控制系统电磁干扰模拟注入试验方法研究

提出了导弹武器控制系统电磁干扰模拟注入的一种试验方法,通过系统试验,验证了控制系统容错机制和设计方案的正确性以及模拟试验方法的有效性,为抗电磁干扰控制系统的研制开发提供技术保障。     

电子时间引信解除保险距离试验研究

通过测量弹丸炮口速度和引信解除保险时间的方法得出电子时间引信远解距离。在介绍某型电子时间引信实现远距离解除保险的方法和机构工作过程的同时,对远解距离进行理论分析,并对试验引信改装的实现方法作了详细说明。在此基础上,进行了电子时间引信解除保险距离测试试验并对试验结果作了分析。     

On optimal system designs in reliability‐economics frameworks

Reliability Economics is a field that can be defined as the collection of all problems in which there is tension between the performance of systems of interest and their cost. Given such a problem, the aim is to resolve the tension through an optimization process that identifies the system which maximizes some appropriate criterion function (e.g. expected lifetime per unit cost). In this paper, we focus on coherent systems of n independent and identically distributed (iid) components and mixtures thereof, and characterize both a system's performance and cost as functions of the system's signature vector (Samaniego, IEEE Trans Reliabil (1985) 69–72). For a given family of criterion functions, a variety of optimality results are obtained for systems of arbitrary order n. Approximations are developed and justified when the underlying component distribution is unknown. Assuming the availability of an auxiliary sample of N component failure times, the asymptotic theory of L‐estimators is adapted for the purpose of establishing the consistency and asymptotic normality of the proposed estimators of the expected ordered failure times of the n components of the systems under study. These results lead to the identification of ε‐optimal systems relative to the chosen criterion function. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

A nonlinear continuous time optimal control model of dynamic pricing and inventory control with no backorders

In this paper, we present a continuous time optimal control model for studying a dynamic pricing and inventory control problem for a make‐to‐stock manufacturing system. We consider a multiproduct capacitated, dynamic setting. We introduce a demand‐based model where the demand is a linear function of the price, the inventory cost is linear, the production cost is an increasing strictly convex function of the production rate, and all coefficients are time‐dependent. A key part of the model is that no backorders are allowed. We introduce and study an algorithm that computes the optimal production and pricing policy as a function of the time on a finite time horizon, and discuss some insights. Our results illustrate the role of capacity and the effects of the dynamic nature of demand in the model. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

演化排列优化拉丁超立方设计方法

拉丁超立方设计是最常用的计算机试验设计方法之一,针对现有拉丁超立方设计方法采样一次性且难以兼顾设计的空间均匀性和计算效率的问题,提出了一种演化排列拉丁超立方试验设计方法。通过对小样本设计的演化、排列信息继承和扩充等操作,以较小的计算量实现了样本的扩充与优化。此外,所提方法可以兼顾现有样本和新增采样点之间的关系,实现样本的序列扩充,这在实际近似建模过程中十分方便。通过多组数值试验,验证了本文方法在空间均匀性和计算效率等方面的优越性。