石油开发投入产出系统的优化与控制

依据石油开发系统的特点,引入状态方程和多变量控制方法,对石油开发投入产出系统进行了分析,提出了多输入－多产出无反馈最快操作问题,建立了多输入－多产出石油开发操作优化模型,研究了多输入－多产出最快操作策略,并进行了案例分析。     

矿井开采条件的模糊综合评价研究

矿井开采条件是影响煤矿设计和生产的重要因素,它是一个由多个子因素组成的综合指标。本文在对开采条件评判指标体系进行了分析的基础上,应用模糊综合评判的理论建立了开采条件的综合评判模型,并在实际矿井中进行了应用。     

多阶段项目风险权衡模型

本文通过对风险概念的进一步分析,说明了风险权衡在项目风险分析中的重要作用。并且阐述了多阶段项目风险权衡的两个基本目的,即评估各阶段风险权衡策略的综合效果,以及根据预期风险控制要求,产生各阶段的风险权衡策略。同时,通过给出一些基本假设,引出了一个多阶段项目的风险权衡模型,并且给出了几种简单实用的求解方法：搜索法和启发式法等。最后,就本文所讨论的方法进行了简单的分析。     

有色噪声中多个周期相近信号参数的估计算法

本文提出了一种“谐波组清除算法”来估计周期信号的参数。该算法不仅计算简单并可获得较高的频率分辨率,而且对信号模型具有较强的鲁棒性。最后,用数值仿真数据与实测直升机噪声数据对该算法进行了检验。     

军用分布式交互仿真(DIS)原型系统的实现研究

讨论以军事训练为目的的分布式交互仿真技术,分析了ＤＩＳ设计需考虑的若干主要问题、一致通信环境、仿真应用开发的客户服务器环境,并在此基础上给出一个ＤＩＳ原型系统的网络结构、功能原理与性能分析。     

基于规则专家系统的广义随机Petri网仿真分析模型

利用广义随机Ｐｅｔｒｉ网为基于规则的专家系统建模,将推理过程中规则的匹配—选择—执行循环的各阶段统一于其广义随机Ｐｅｔｒｉ网模型中,通过对该模型的计算机仿真分析,可对系统的可靠性及性能进行评价。     

冷连轧过程线性化动态模型的研究

以多机架四辊冷连轧机为背景,研究了冷连忆过程的动态模型,建立了冷连轧过程的工作点线性化状态空间模型,实验仿真结果说明了这一动态模型的有效性。     

Non-fragile decentralized H∞ controller design for uncertain linear systems

Considering the design problem of non-fragile decentralized H∞ controller with gain variations, the dynamic feedback controller by measurement feedback for uncertain linear systems is constructed and studied. The parameter uncertainties are considered to be unknown but norm bounded. The design procedures are investigated in terms of positive definite solutions to modify algebraic Riccati inequalities. Using information exchange among local controllers, the designed non-fragile decentralized H∞ controllers guarantee that the uncertain closed-loop linear systems are stable and with H∞ -norm bound on disturbance attenuation. A sufficient condition that there are such non-fragile H∞ controllers is obtained by algebraic Riccati inequalities. The approaches to solve modified algebraic Riccati inequalities are carried out preliminarily. Finally, a numerical example to show the validity of the proposed approach is given.     

Exploration of TCM Masters Knowledge Mining

Traditional Chinese medicine （TCM） has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never end. To avoid losing precious knowledge of living TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward diseases and typical therapeutic principles and methods. Knowledge mining methods have been expected to explore some useful or hidden patterns to unveil some mysteries of the TCM system. In the paper, some computerized methods are applied toward those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the essence of TCM. The work is one kind of qualitative meta-synthesis of TCM masters＇ knowledge.     

On-Line Scheduling of Unit Time Jobs with Rejection on Uniform Machines

The authors consider the problem of on-line scheduling of unit execution time jobs on uniform machines with rejection penalty. The jobs arrive one by one and can be either accepted and scheduled, or be rejected. The objective is to minimize the total completion time of the accepted jobs and the total penalty of the rejection jobs. The authors propose an on-line algorithm and prove that the competitive ratio is 1/2 （2 W √3） ≈ 1.86602.