Scale-invariant occupancy of phase space and additivity of nonextensive entropy <Emphasis Type="Italic">S</Emphasis><Subscript><Emphasis Type="Italic">q</Emphasis></Subscript>

Phase space can be constructed for N equal and distinguishable binary subsystems which are correlated in a scale-invariant manner. In the paper, correlation coefficient and reduced probability are introduced to characterize the scale-invariant correlated binary subsystems. Probabilistic sets for the correlated binary subsystems satisfy Leibnitz triangle rule in the sense that the marginal probabilities of N-system are equal to the joint probabilities of the (N −1)-system. For entropic index q ≠ 1, nonextensive entropy S _q is shown to be additive in the scale-invariant occupation of phase space.     

磁悬浮列车跨系统运行Petri网模型

根据磁悬浮列车跨系统运行需求,研究了其运行控制系统的总体框架,明确了需要增加的功能子系统。基于系统理论,采用Petri网对系统关键属性、列车运行过程及各子系统的功能进行了层次化的建模。最高层模型描述系统整体关键属性,低层模型描述列车运行过程及可靠性。此模型可用来定量分析磁悬浮列车系统层面上跨系统运行时,失败率与各子系统部件可靠性之间的关系。如每年磁悬浮列车跨系统运行失败次数不超过1次,则连接相邻列控系统的2个通信网,其失效率都需低于10-6次.h-1。当列车跨系统运行触发时间分别为0.2、2.0min,步进时间分别为4、16min时,则跨线运行失败率分别为1.95×10-5、1.65×10-5次.h-1。仿真结果表明:列车跨系统失败率随a网和b网可靠性的提高而降低,同时随着跨系统触发时间和步进时间的增加而降低。层次化建模分析方法可以根据系统层面的关键属性要求,定量确定各子系统部件的可靠性需求。     

Real-time life-cycle modular design method based on game theory for jack-up

AbstractTo study an entity the entire jack-up performs as a total system with close interdependency and high level of integration of a myriad of subsystems supporting each individual function.All subsystems should be arranged in regular geometric space with clear regional division according to their respective functions.The "building block"such as arrangement makes it feasible to apply modular design method while the integration and conflicts among subsystems offer an arena for game theoretic analysis.All the contradictions between subsystems should be resolved bye the designer.Here we present a game theoretic analysis methodology,which based on the basic principles of game theory,through the establishment of matrix-mode game models to describe and analyze engineering design tasks.By using this method the optimization process in various fields of expertise can be effectively coordinated and controlled,and the parallel design patterns can be achieved to some extent.Taking account of the impact of commercial or technical activities in platform’s life cycle,time line is considered in the early stage of design process which provides more convenience for effcient upgrade and reconfiguration.Some second-hand three-legged jack-up upgrade design process is used as an example to illustrate the utility of the method.     

Mapping QTL for Categorical Traits with Multivariate Regression

Many biologically interesting and/or economi-cally important traits do not show a continuousphenotypic distribution; rather, they express in adiscrete fashion. Often, these traits are not inher-ited in a Mendelian fashion, but behave more like apolygenic trait. These trait are called categorical orthreshold traits. Complex binary traits are specialcategorical traits with just two categories. A cate-gorical or threshold trait is presumably controlledby one or several genes with expression modi…     

集值渐近非扩张映象耦合不动点及其迭代列的收敛性

在Hilbert空间中利用集值映象点值化方法,得到了一类非连续二元集值渐近非扩张映象的耦合不动点集定理和迭代列的收敛性.     

集值渐近非扩张映象耦合不动点及其迭代列的收敛性

在Hilbert空间中利用集值映象点值化方法,得到了一类非连续二元集值渐近非扩张映象的耦合不动点集定理和迭代列的收敛性.     

基于带宽最大化的城市干线子区划分技术研究

针对以直行车流为主要流向,实行两相位控制的城市干线,基于经典的MAXBAND 模型,建立了干线分子区协调控制模型.该模型自动将干线分为若干具有3–6个交叉口的控制子区,每个子区追求最大化绿波带宽,不同子区协调方向的直行车辆享有尽可能均等的绿波通行时间.采用遗传算法求解模型,求解结果显示,分段点一般为周期相对较大或间距较大的交叉口.通过与Synchro 优化方案相比,本文模型优化的方案可以使子区的平均带宽有效率提高27.8%.利用CORSIM对分别采用本文模型和Synchro 划分的 6 种配时方案进行仿真,结果表明,与后者优化的方案相比,本文模型优化的方案具有更优的干线平均延误、平均车速、停车率等性能指标.     

多元映象组的公共耦合不动点

研究了一类二元映象组,并得到了这类映象组的公共耦合不动点存在性、迭代式及其收敛速率估计公式.     

基于混合Logit模型的出租车超速者运营因素分析

根据超速频次、平均超速严重度和平均超速持续时间等3类超速特征，判断出租车超速者类型，明确运营因素对超速者类型的影响。本文利用成都市出租车GPS轨迹数据提取此3类超速特征，并筛选出若干运营因素。而后，应用模糊C-均值聚类确定4类出租车超速群体(超速者I、II、 III和IV型)。运用相关随机参数混合Logit模型，估计单个超速者的某运营因素在超过超速群体平均水平时，对该超速者类型的影响。结果显示：超速者I和II型的每小时超速频数、平均超速严重度低，但平均超速持续时间高；超速者III和IV型则相反。当超速者的日均行程距离、日均收入、低限速道路行程比例、夜间行程比例和全时段速度标准差超过群体均值时，其成为超速者III 和IV型的概率提高了15.39%~77.09%和42.98%~302.38%；成为超速者 I 型和 II 型的概率降低了-0.09%~26.57%和38.74%~68.34%。此外，日均行程距离、低限速道路上行程比例和夜间速度标准差等3类因素在估计中表现出异质性。     

多元映象组的公共耦合不动点

研究了一类二元映象组,并得到了这类映象组的公共耦合不动点存在性、迭代式及其收敛速率估计公式.     

编组站作业协调性计算及改善

编组站作业协调性包括内部各子系统之间的能力协调以及整个编组站到解系统与区间的点线能力协调。结合向塘西编组站的具体实例,对其能力协调进行实证分析。提出一些切实可行的措施,使编组站内部各子系统之间以及编组站与线路之间的能力协调一致,从而能够充分利用既有设备,达到最佳的运营效果。     

Stability Analysis of Continuous-Time Fuzzy Large-Scale System

IntroductionSincefuzzylogicwasintroducedintotheanalysisanddesignofcontrolsystemsbyZadehin 1 96 5[1] ,ithasbecomeaverypopulartopicincontrolengineering[2 4] ,mainlybecauseofthefollowingtwopoints :1 )ithastheadvantagethatnoformalmathematicalmodelsisneededan…     

Hilbert空间集值非扩张映象的耦合不动点

在Hilbert空间中利用最佳逼近元将集值非扩张映象点值化,并得到了一类非紧非连续二元集值映象的耦合不动点定理.     

高速公路交通安全管理系统研究

简要阐述了高速公路交通安全管理内涵,对高速公路交通安全管理周期和管理路段进行了分析,构建了高速公路交通安全管理系统,并对其四个子系统分别进行分析研究。给出建立各子系统所需方法及模型。为高速公路交通安全进行系统化、智能化管理提供了理论基础和实践方法。     

基于聚类学习的超分辨率方法

在高分辨率空间对图像局部结构进行k均值聚类，估计最小二乘意义下的插值滤波器参数，然后根据估计参数来增强图像的分辨率。同时借鉴区域连接增长的思想解决分类歧义问题。计算结果显示，该方法优于传统的基于学习的方法，图像边缘清晰、细节恢复多。     

应用于二进制除法位数扩展Ⅳ阶预测-校正迭代算法

提出了一种扩展二进制除法位数的Ⅳ阶预测．校正迭代算法．该算法每次迭代将除数位长一分为二,直到除数位长与基本除法位长相同．相应地商分前后两步求出,每步中除数高半数位作为除法运算的除数预测商值,低半数位和部分余数形成部分积校正预测值．理论分析并论证了调整值集合为[0,-1,-2],给出了32位以内的各次校正概率曲线图．实验结果表明,本算法与比较除法相比,计算效率可提高3到10倍（取决于基本除法的位长）．本算法能得到准确余数,符合IEEE浮点数的舍入规范．     

差动制动对汽车制动稳定性的影响

为了提高汽车制动的安全性,对差动制动的力学特性进行了分析,运用ADAMS/Car软件建立了汽车各子系统动力学模型,通过对主要子系统进行相应的设置,建立了整车动力学仿真模型,进行了直线制动及转弯制动稳定性仿真分析,研究了差动制动对制动稳定性的影响。仿真结果表明:差动制动方式可以减小汽车转弯制动时的质心侧偏角,提高汽车的制动稳定性,但汽车质量对于制动稳定性影响较大,因此,应用差动制动时应注意制动力分配方式,并考虑质量变化的影响。     

An Adaptive Sliding Mode Tracking Controller Using BP Neural Networks for a Class of Large-scale Nonlinear Systems

A new type controller, BP neural-networks-based sliding mode controller is developed for a class of large-scale nonlinear systems with unknown bounds of high-order interconnections in this paper. It is shown that decentralized BP neural networks are used to adaptively learn the uncertainty bounds of interconnected subsystems in the Lyapunov sense, and the outputs of the decentralized BP neural networks are then used as the parameters of the sliding mode controller to compensate for the effects of subsystems uncertainties. Using this scheme, not only strong robustness with respect to uncertainty dynamics and nonlinearities can be obtained, but also the output tracking error between the actual output of each subsystem and the corresponding desired reference output can asymptotically converge to zero. A simulation example is presented to support the validity of the proposed BP neural-networks-based sliding mode controller.     

地铁应急救援车辆配置绩效评估模型

分析了地铁应急救援车辆对地铁灾害事故实施救援的排队过程, 定义了救援车辆响应地铁灾害事故的状态空间, 基于随机生灭过程理论建立了救援车辆的联合排队模型, 得到救援状态平衡方程; 为了减小平衡方程求解的运算量与存储空间, 提出了基于稀疏矩阵压缩的联合排队状态概率改进求解算法, 给出了包括救援响应时间、救援车辆工作强度、跨区救援概率等地铁救援系统各项绩效评价指标计算方法; 为了验证模型与求解算法, 以实际的地铁线网为例, 研究了路轨两用救援车、履带式救援车和便携式救援车的性能指标。计算结果表明: 算法迭代7次以后, 收敛精度数量级达到了10-8; 路轨两用救援车、履带式救援车和便携式救援车的平均响应时间分别约为14、20、10 min; 路轨两用救援车、履带式救援车跨区救援概率分别约为0.85、0.75, 便携式救援车跨区救援概率数量级为10-5; 在各小区接收外部救援车方面, 路轨两用救援车和履带式救援车跨区救援概率约为0.7, 而便携式救援车跨区救援概率的数量级约为10-6; 在救援强度的均衡性方面, 路轨两用救援车、履带式救援车和便携式救援车依次降低。      

Binary decision diagram quantitative analysis method based on fuzzy set theory

A binary decision diagram(BDD) is a data structure that is used to represent a Boolean function.Converting fault tree into BDD can effectively simplify counting processes and improve the accuracy and effectiveness of the results. However, due to various types of uncertainties in reliability data, we cannot obtain precise failure probabilities. In order to accurately quantify the certainties and obtain much more reliable results, we use BDD method based on fuzzy set theory for reliability quantitative analysis. In this regard, we take W-axis feeding system of heavy-duty computer numerical control(CNC) machine as a project example and adopt fuzzy BDD quantitative analysis method to analyze its reliability. The analysis results(aided by computer calculation)illustrate the effectiveness of the method proposed in this paper.