Min–Median–Max metamodel-based unconstrained nonlinear optimization problems

An important direction of metamodeling research focuses on developing methods which can iteratively improve the accuracy of the metamodel. The intention of these kinds of strategies is to use a space reduction strategy to lead response surface refinement to a smaller design space; and new sample points are commonly generated near the optimum. The potential risk is that some characteristics of given problems might be lost, especially for nonlinear problems. Therefore, a novel metamodel-assisted optimization called “Min–Median–Max” (M3) is proposed. This algorithm classifies sample points into three categories (maximum, median and minimum) based on corresponding objective function values, new sample points should be generated by considering combination of three kinds of samples. In order to avoid local convergence and control size of sample points, particle swarm optimization (PSO) algorithm and radial basis function (RBF) metamodeling technique are integrated to implement the suggested M3 strategy. To validate the performance of the M3 strategy, multiple mathematical test functions are used for evaluating the accuracy and efficiency. As a practical engineering application, drawbead design of a stamping system is optimized. The results demonstrate applicability and effectiveness of the M3 algorithm.     

有理分式反Z变换的实用方法

本文给出的有理分式反Z变换方法可以同时给出因果和逆因果两种序列.由于它避免了现有三种反Z变换方法所必需的确定分式极点的困难及误差,所以使用起来较为方便和精确.它可用来研究子波信号的延迟性质与系统(如滤波器)稳定性和可逆性,还可用来求解线性系统的差分方程,确定分式零点与极点的定位范围.     

对《网络创业实训》课程的探讨

针对各校对大学生创业实训进行讲授内容的不同,我们在结合本专业的基础上,开展了网络创业实训课程,在创业方向方面不再仅限于网店,而是可以进行多种模式的选择,同时在提高实践性方向,最终的成果也以创业企划书来全面衡量。     

探析产品设计中的“绿色设计”

由于环境的恶化、自然资源的有限和过度开采,倡导环境和资源保护的绿色设计必将成为今后产品设计的主流之一;社会的可持续发展的要求预示着"绿色设计"将成为现代产品设计的重要思想。然而多数人对绿色设计真正含义并不十分明确。本文就绿色设计的具体含义作了具体的分析,并把绿色设计的内容和趋势进行了新的总结和拓展。     

数据挖掘在电子商务中的应用研究

本文主要介绍数据挖掘在电子商务中的应用,文章从数据挖掘的定义、数据挖掘的常用方法出发,阐述了数据挖掘在海量信息中提取有效信息的作用,特别是数据挖掘与电子商务的结合可以给人们生活带来便利,给企业带来新的利润空间以及为企业提供决策支持。常用的数据挖掘技术主要包括支持向量机、朴素贝叶斯、聚类、决策树、神经网络和关联规则等,最后介绍了数据挖掘在电子商务的4个主要应用方面,说明了数据挖掘存在的必要性。     

对SQL Server数据库的安全和管理策略探讨

自微软公司推出SQL Server关系数据库管理系统以来,其在越来越多的电子商务网站和企业信息平台中得以广泛使用。然而与之相关的信息安全问题也日益凸现和受到用户的密切关注。因此,为了保护SQL Server数据库避免来自各种途径的安全威胁,保障信息的安全,本文对其安全机制、安全策略和保障其安全的管理策略进行了探讨,提出了相应的解决措施和办法,以供参考。     

基于RTLinux的开放式软件PLC的研究*

开放式控制技术是工业控制技术的发展趋势之一,软件PLC是开放式控制系统的重要组成部分。开放式控制系统实现的一条重要途径就是充分利用PC的软硬件资源,最大限度地利用软件实现控制功能。通过软件分层与数据开放相结合的方法,在RTLinux下设计的开放式软件PLC就是这种思想体现。     

Random-effects regression analysis of correlated grouped-time survival data

Random-effects regression modelling is proposed for analysis of correlated grouped-time survival data. Two analysis approaches are considered. The first treats survival time as an ordinal outcome, which is either right-censored or not. The second approach treats survival time as a set of dichotomous indicators of whether the event occurred for time periods up to the period of the event or censor. For either approach both proportional hazards and proportional odds versions of the random-effects model are developed, while partial proportional hazards and odds generalizations are described for the latter approach. For estimation, a full-information maximum marginal likelihood solution is implemented using numerical quadrature to integrate over the distribution of multiple random effects. The quadrature solution allows some flexibility in the choice of distributions for the random effects; both normal and rectangular distributions are considered in this article. An analysis of a dataset where students are clustered within schools is used to illustrate features of random-effects analysis of clustered grouped-time survival data.     

Adaptive tracking control of leader–follower systems with unknown dynamics and partial measurements

In this paper, a decentralized adaptive tracking control is developed for a second-order leader–follower system with unknown dynamics and relative position measurements. Linearly parameterized models are used to describe the unknown dynamics of a self-active leader and all followers. A new distributed system is obtained by using the relative position and velocity measurements as the state variables. By only using the relative position measurements, a dynamic output–feedback tracking control together with decentralized adaptive laws is designed for each follower. At the same time, the stability of the tracking error system and the parameter convergence are analyzed with the help of a common Lyapunov function method. Some simulation results are presented to validate the proposed adaptive tracking control.