Modeling the operation of multireservoir systems using decomposition and stochastic dynamic programming

Stochastic dynamic programming models are attractive for multireservoir control problems because they allow non‐linear features to be incorporated and changes in hydrological conditions to be modeled as Markov processes. However, with the exception of the simplest cases, these models are computationally intractable because of the high dimension of the state and action spaces involved. This paper proposes a new method of determining an operating policy for a multireservoir control problem that uses stochastic dynamic programming, but is practical for systems with many reservoirs. Decomposition is first used to reduce the problem to a number of independent subproblems. Each subproblem is formulated as a low‐dimensional stochastic dynamic program and solved to determine the operating policy for one of the reservoirs in the system. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

高速数字电路信号完整性设计

随着电子产品日愈复杂,电路板工作频率不断提升,从而导致信号完整性问题。从工程应用角度阐述了高速电路的概念,列举了典型的信号完整性问题,如反射、串扰、电源和地噪声、定时等,提出信号完整性设计中所应遵循的设计方法,如控制走线长度、特征阻抗控制与计算,仿真技术等,并讲解了真实的设计案例,具有工程应用实际参考价值。     

基于Matlab的雷达信号处理系统仿真

针对现代雷达信号处理的主要方式,运用数字信号处理理论和Matlab软件研究雷达信号处理的仿真问题。提出了一个仿真模型,该模型可以仿真雷达信号、热噪声与杂波的产生和雷达系统中信号的动态处理过程。用Matlab对某脉冲压缩雷达信号处理系统进行了仿真,得到了雷达系统中各个处理点上的具体信号形式,既包含幅度信息,又包含相位信息,该模型能较好地满足对雷达信号处理的仿真要求,显示了用Matlab仿真雷达信号处理系统的方便、快捷的优点。     

基于D-S证据理论的机载雷达模糊识别方法

针对机载雷达信号的复杂性和模糊性等特点,提出一种D-S(登普斯特-谢弗)证据理论和模糊理论组合应用的方法用于对机载雷达的识别。通过对信号的积累和对信任度(模糊隶属度)的重新分配,有效地解决了机载雷达信号的不确定性问题以及如何利用信号在时间上的冗余信息问题,提高了信号的正确识别率。仿真实验和正确识别率的统计结果验证了这种方法十分有效。     

随机相位信号检测模型及其在移动通信保密系统中的应用

通过对随机相位信号检测模型的分析 ,介绍了一种基于该检测模型的对于经FSK调制的随机相位信号的检测方法 ,并阐述了该方法在一种蜂窝式移动通信保密系统中的应用     

基于随机加权法的BAYES精度评定

从工程应用的角度出发 ,在极小现场子样条件下 ,讨论了如何利用验前信息与现场子样来对导弹的命中精度进行评定 ,将随机加权法与BAYES方法结合起来 ,提出了基于随机加权法的BAYES精度评定方法 ,并通过算例证实了方法的正确性     

用于目标弱信号处理的三重相关匹配滤波技术

分析了在二重相关匹配滤波技术的基础上实现三重相关匹配滤波的方法。三重相关匹配滤波对于目标的弱信号进行检测和处理 ,具有广泛的实用价值。给出了一个红外搜索目标信号处理的计算机模拟结果 ,并对计算机模拟结果进行了分析 ,证明了三重相关匹配滤波技术相对于二重相关和三重相关检测技术的优越性     

Selecting T for a periodic review inventory model with staggered deliveries

Consider a single‐item, periodic review, infinite‐horizon, undiscounted, inventory model with stochastic demands, proportional holding and shortage costs, and full backlogging. Orders can arrive in every period, and the cost of receiving them is negligible (as in a JIT setting). Every T periods, one audits the current stock level and decides on deliveries for the next T periods, thus incurring a fixed audit cost and—when one schedules deliveries—a fixed order cost. The problem is to find a review period T and an ordering policy that satisfy the average cost criterion. The current article extends an earlier treatment of this problem, which assumed that the fixed order cost is automatically incurred once every T periods. We characterize an optimal ordering policy when T is fixed, prove that an optimal review period T** exists, and develop a global search algorithm for its computation. We also study the behavior of four approximations to T** based on the assumption that the fixed order cost is incurred during every cycle. Analytic results from a companion article (where μ/σ is large) and extensive computational experiments with normal and gamma demand test problems suggest these approximations and associated heuristic policies perform well when μ/σ ≥ 2. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 329–352, 2000     

YFRIO 实时I/O语言与YFSIM 仿真语言的同步关系

本文介绍ＹＦＲＩＯ语言和ＹＦＳＩＭ语言的同步关系,阐述了两者同步的硬件、软件机制,以及如何进行程序设计。     

小波分析在电子装备供电设备故障检测中的应用

新型电子装备供电设备封装性能好,可及测点少,故障检测和诊断难度大.在分析供电设备声信号产生机理的基础上,提出了一种利用小波分析理论对声信号进行处理,实现非接触、不解体故障检测与诊断的方法.论证了频带能量分析法和极大值分析法提取故障特征信息的可行性,并给出了故障特征参数算法.实验证明,该方法能有效地检测和诊断故障.