Analysis of Over- and Underdetermined Nonlinear Differential-Algebraic Systems with Application to Nonlinear Control Problems

 We study over- and underdetermined systems of nonlinear differential-algebraic equations. Such equations arise in many applications in circuit and multibody system simulation, in particular when automatic model generation is used, or in the analysis and solution of control problems in the behavior framework.?We give a general (local) existence and uniqueness theory and apply the results to analyze when nonlinear implicit control problems can be made regular by state or output feedback.?The theoretical analysis also leads immediately to numerical methods for the simulation as well as the construction of regularizing feedbacks. Date received: February 21, 2000. Date revised: November 14, 2000.     

Quasi-maximum likelihood estimation of periodic GARCH and periodic ARMA-GARCH processes

Abstract.  This article establishes the strong consistency and asymptotic normality (CAN) of the quasi-maximum likelihood estimator (QMLE) for generalized autoregressive conditionally heteroscedastic (GARCH) and autoregressive moving-average (ARMA)-GARCH processes with periodically time-varying parameters. We first give a necessary and sufficient condition for the existence of a strictly periodically stationary solution of the periodic GARCH (PGARCH) equation. As a result, it is shown that the moment of some positive order of the PGARCH solution is finite, under which we prove the strong consistency and asymptotic normality of the QMLE for a PGARCH process without any condition on its moments and for a periodic ARMA-GARCH (PARMA-PGARCH) under mild conditions.     

大化甲醇项目25500Nm3/h空分氩系统调试总结

介绍了大化甲醇装置空分氩系统调试经过,并进行了经验总结.     

GGSN协议的一个流程问题分析及改进

在网关GPRS(通用无线分组业务)支持节点(GGSN)项目与服务GPRS支持节点(SGSN)项的集成测试中发现了GGSN相关协议的一处流程交互的定义的缺陷,该缺陷导致在异常的流程处理中大量垃圾上下文的生成,并使得GGSN与SGSN两侧信息产生较大的不一致,这些不一致的信息将在较长时间影响系统的后续运行并产生运行错误.本文分析了此流程缺陷产生的原因并对相应流程提出一种改进的方法.实验环境下的测试结果表明,对协议做这样的改进可以完全解决这一问题并保证工程实现的高效性.     

Ultrastructure and Textile Chemistry

Abstract

This paper presents a new multi-criteria decision-making approach to determine the quality value of cotton fibre. Major cotton fibre properties were considered and their relative importance or weights were determined by a typical pair-wise comparison method. Cotton fibres were ranked according to their relative closeness with respect to the best and worst possible alternatives. This ranking was compared with the ranking of yarn tenacity in two different yarn counts. It was found that there is significant agreement between the two rankings.     

火炮身管膛线加工的轮廓一致性保证技术

通过对火炮身管膛线加工过程的分析，提出膛线自动加工控制过程中膛线轨迹一致性保证技术，包括膛线方程数据细分归一处理方法、运动过程换向点校验修正技术、动态过程的轨迹验证。从定点采样过程数据看，整个过程Z／C联动轨迹的轮廓一致性能得到很好的保证，确保多次循环下轨迹的绝对重复。     

Effects of harvest time on the quality attributes of processed and non‐processed tomato varieties

This study examines physicochemical changes in newly developed and existing tomato varieties at different levels of maturity. Serum viscosity is an important factor in the selection of tomato varieties for processing. Most of the attributes indicative of quality for fresh and paste tomatoes occurred at a less mature stage and declined with maturity. The canned varieties ‘H9888,’‘H8892’ and ‘H9780’ had a greater ascorbic acid content and antioxidant capacity. The highest lycopene contents were found in the varieties ‘H9888,’‘CXD254,’‘CXD222’ and ‘H9780’. Total soluble solids levels increased with maturity. The highest acidity values occurred in canned ‘Shasta’, ‘CXD254’ and ‘H9780’ varieties. Mid‐ and late‐season varieties harvested at an early stage produced thicker pastes with greater serum viscosity and acidity than tomatoes harvested at other points in the ripening process. The best results were obtained from canned samples of ‘H9888,’‘CXD254’ and ‘H9780.’     

锂离子电池成组及一致性管理研究现状与展望

归纳和总结锂离子电池和电池组模型、电池成组和电池一致性优化控制的研究方法和存在的问题。同时,对电池一致性管理研究趋势进行展望。提出应根据储能系统实际运行工况和电池成组方式,充分考虑电池连接方式、极柱引出位置、连接件阻抗等,优化电池组模型,提高模型精度。并根据模拟和实验结果,优化电池成组方式和控制策略,解决制约储能产业发展的电池组技术瓶颈。     

基于输入K-近邻的正则化路径上SVR贝叶斯组合

在ε-不敏感支持向量回归(ε-insensitive support vector regression, ε-SVR)正则化路径的基础上,提出基于输入K-近邻的三步式SVR模型组合方法。在整个样本集上进行训练,求得ε-SVR的正则化路径。由SVR正则化路径的分段线性性质确定初始模型集合,并应用平均贝叶斯信息准则(Bayesian Information Criterion, BIC)策略对初始模型集合进行修剪以获得候选模型集合。该修剪策略可减小候选模型集合的规模,提高模型组合的计算效率和预测性能。在预测或测试阶段,根据样本输入向量采用K-近邻法确定最终组合模型集合,并实现贝叶斯组合预测。证明了ε-SVR模型组合的L_ε-风险一致性,给出了SVR模型组合基于样本的合理性解释。试验结果验证了正则化路径上基于输入K-近邻的ε-SVR模型组合的有效性。     

基于多向搜索的SDN流表更新一致性方案

流表更新的无环一致性最优化方案的计算复杂度高,而反向、双向更新方案的计算复杂度低,依赖链长度难以得到有效的优化,为此提出了基于多向搜索的流表更新一致性方案.引入逻辑证明验证了该方案具有无环一致性.仿真结果显示,该方案具有接近最优化方案的依赖链长度,并且计算复杂度得到了显著优化.