A comparison between classical robust stability conditions

The paper is focused on the comparison between some classical robust stability conditions for continuous‐time linear time‐invariant systems. Such conditions are given as lemmas in the paper, since their statements include some generalizations, needed in order to better compare (and use) them. The analysis is carried out by comparing pairwise the families of systems whose stabilization through a given compensator is guaranteed by each of the considered robust stability conditions. Some properties of the families are formally derived and stated, and some very simple examples arc exhibited in order to illustrate the presented properties and comparisons. A theorem, representing an extension of one of the considered conditions, is proposed in order to overcome some difficulties arising in the use of the classical result. Copyright © 2004 John Wiley & Sons, Ltd.     

基于多维空间的商务协同要素分析

运用四维空间分析方法,引入时间压缩策略、战略成本管理、标杆管理和协同效应等原理,将网络协同商务链置于时间维、经济成本维、性能维和可持续发展维等多维空间中进行多元素分析和运筹。指出企业间资源、信息与业务的协同能力依赖于时间、成本、性能以及持续竞争优势等多个约束因素的协调。     

可编程控制器的时钟设立及时间控制

介绍了可编程控制器机内时钟的设定及时间控制的方法,给出了编程实例．     

蒙特卡罗模拟在库存控制中的应用

分析了现有确定型库存控制模型存在的问题,提出了一种基于蒙特卡罗模拟的随机型库存控制模型,并给出了应用实例．     

跟踪-微分器在全捷联制导中的应用分析

以仅能获取角度信息的全捷联导引头为研究对象,针对采用直接微分提取惯性视线角速率时存在的噪声放大问题,基于跟踪微分器设计了一种全捷联制导信息提取算法。结合导引头的性能指标要求,对3种不同形式跟踪微分器的提取效果进行了对比分析。仿真结果表明,采用非线性微分器进行惯性视线角速率提取,可以减小延迟时间,避免噪声放大,有效提高制导精度,具有一定的工程应用价值。     

Simulation of X-ray pulsar signals with multiphysical properties

In view of the few and discontinuous X-ray pulsar data, based on the physical properties of the X-ray pulsar real data from the Rossi X-ray Timing Explorer (RXTE) spacecraft, this paper adopts the fast iterative method and the 10 μs time transformation model, simulates the X-ray pulsar signals which have the periodic property, spectral property, and the background noise property as well as a variety of delay effects. We design and implement simulation software which can simulate the X-ray pulsar signals with multi-physical properties. The results of comparing the real data and simulation data in the same situation show that the simulation noises and the actual noises have the same distribution, that the period stability of the simulated X-ray pulsar data agrees with the real data, with the error of only 0.43％, in different energy levels, that the simulated data's integrated profile and the real data's standard profile are highly correlated with the Pearson correlation coefficient of 0.99, and that under the 10μs time transformation model, the time conversion accuracy of the simulation data can reach 10^-7s, the error between the simulation and the real data being just only 10^-7s, which meets the time transformation accuracy. Therefore, the proposed method can realize the high-fidelity simulations and generate the continuous pulsar signal with many physical properties.     

基于BP神经网络的非线性组合预测模型在粮食物流需求预测中的应用

鉴于单项预测模型的局限性,在确定粮食物流需求量的基础上,建立了基于BP神经网络的非线性组合预测模型,并把这一模型应用于长春市粮食物流需求的预测。误差分析表明,该预测模型可以有效地提高粮食物流需求量的预测精度。     

双线性系统参数估计中的泰勒级数方法

本文给出了一种利用泰勒级数估计双线性系统参数的方法。通过将输入输出进行泰勒级数展开,把原微分方程模型转化成一个代数方程,进而利用最小二乘原理得到参数的估值。     

经济评价方法中内部收益率的分析与研究

内部收益率是经济评价中的一项重要指标,反映项目收回投资时间的快慢,可用试差法计算,也可近似等于偿还期的倒数.     

计及数据不平衡的RUSBoost-LightGBM 短期负荷预测方法

随着人工智能技术的发展,负荷预测的准确度显著提高,但仍有一些负荷曲线预测精度较低。造成这种现象的原因 在于训练集中这类负荷曲线属于少数类,导致数据不平衡,模型无法充分学习,从而影响了预测的精度。为解决电力负荷数 据不平衡问题导致的预测精度降低的问题,提出了一种先分类后预测的解决方法。通过改进的K-Mediods 方法把具有高相 似性的历史负荷曲线进行聚类,并构造分类标签与电力负荷的特征集;然后根据预测时间的特征进行分类,通过RUSBoost 算 法很好的优化了分类过程中数据不平衡问题;最后在每类中使用LightGBM算法进行负荷预测。在公开数据集上的实验表 明,所提出方法对少数类负荷的预测效果显著,其平均绝对百分比误差(MAPE) 为2.95%,均方根误差(RMSE) 为 175.71 MW;对于常规负荷的预测,MAPE为3 .52%,RMSE为195.84 MW,相对其他方法也具有较好的预测效果。