离散广义区间动力系统的稳定性

利用范数理论,研究离散广义区间动力系统的稳定性问题,给出其区间动力系统的正则、因果且稳定的充分条件.在此基础上,进一步考虑该系统的区间极点集的配置问题,给出了使离散广义区间动力系统的极点落在预先给定园盘内的判定定理.数值算例表明了该方法的可行性.     

广义区间动力系统脉冲模存在性判据

系统有无脉冲行为直接影响到系统性质,本文针对广义区间动力系统首先给出了区间矩阵奇异值变化范围的判定定理,然后得到判别区间矩阵秩的变化范围的充分条件,进而得到判别广义区间动力系统具有脉冲模的判据.     

广义区间动力系统稳定的充分条件

本文讨论了连续广义系统在系统矩阵为区间矩阵时的稳定性问题。通过使用Gershgorin圆盘定理，在假设广义区间动力系统满足系统矩阵A主对角线元素均为负区间数的约束条件情况下，给出了一个使广义区间动力系统正则、无脉冲膜、稳定的充分条件。并针对系统对应的Gershgorin圆盘半径较大的情况做了进一步的讨论，使上述充分条件能够适用于更一般的情况。文中举出实例说明此方法的正确性。同时，本文还给出了一个判别区间矩阵为非奇异的充分必要条件。     

广义区间动力系统的能控性

讨论了广义区间动力系统正则性、I-能控与C-能控问题.由于上述问题等价于判别某个区间矩阵为列满秩,首先得到判别区间矩阵为列满秩的充分条件与充分必要条件,进一步得到了判别广义区间系统为正则的充分必要条件、I-能控的充分条件与C-能控的充分必要条件.通过数值实例说明所得到的结果相对于已有结果更具有一般性及有效性.由对偶原理,得到相应的能观性的判据.     

具有时滞的线性区间动力系统的鲁棒稳定性

利用Lyapunov原理,给出了具有时滞的线性区间动力系统鲁棒稳定的一些充分条件,推广和改进了前人关于具有时滞的线性区间动力系统的鲁棒稳定性的相关结论,并举例说明了本文结果不仅保守性小,且计算简单.     

多滞后时变区间动力系统的稳定性和衰减率

研究了多滞后时变区间动力系统的渐近稳定性和α指数稳定性,给出了其一致渐近稳定和α指数稳定的充分条件,推广和改进了文[1-4]的工作.     

广义系统具有完整性的鲁棒二次稳定

考虑带有Frobenius范数界的不确定广义系统,具有完整性的鲁棒二次稳定问题.用Riccati不等式给出不确定广义系统在状态反馈和输出反馈作用下所构成的闭环系统二次稳定,并且当执行器出现故障时,不确定广义系统仍能保持二次稳定的充分条件,即不确定广义系统具有完整性的鲁棒二次稳定的充分条件.     

广义区间动力系统的鲁棒H ∞控制

讨论了广义区间动力系统的鲁棒H∞控制问题．利用线性矩阵不等式设计状态反馈控制律，使对所有满足条件的区间矩阵，闭环系统正则、无脉冲、稳定且满足一定的H∞性能指标.     

带有时滞的区间动力系统的鲁棒稳定性研究

给出了区间动力系统稳定性的相关概念,讨论了带有时滞的区间动力系统的鲁棒稳定性.通过构造控制矩阵和迭代相结合的方法,给出了一类带有时滞的区间动力系统鲁棒稳定的判别方法,并且给出了系统鲁棒稳定时参数取值的最大区间.将含有时滞的区间动力系统的稳定性转化为判别一个矩阵的稳定性,推广和改进了已有的结论.     

区间离散广义系统状态反馈鲁棒H∞控制

讨论了一类区间离散广义系统的状态反馈鲁棒H_∞控制问题.在给出区间离散广义系统的等价描述之后,基于系统参数矩阵不等式,得到了问题可解的充分条件,并给出了状态反馈控制器显式表示.所得的控制器保证闭环系统正则,具有因果关系,稳定并且满足给定的H_∞性能指标.数值例子说明了该方法的正确性.     

Research on Combined Dynamic Traffic Assignment and Signal Control

This paper presents a generalized bi-level programming model of combined dynamic traffic assignment and traffic signal control,and especially analyzes a procedure for determining the equilibrium queuing delays on saturated links for dynamic network signal control satisfying the FIFO (first-in-first-out)rule.The chaotic optimal algorithm proposed in this paper can not only present the optimal signal settings,but also calculate,at each interval,the link inflow rates and outflow rates for the dynamic user optimal problem,and provide real-time information for the travelers.Finally,a numerical example is given to illustrate the application of the proposed model and solution algorithm, and comparison shows that this model has better system performance.     

动态交通分配与信号控制的组合模型及算法研究

This paper presents a generalized bi-level programming model of combined dynamic traffic assignment and traffic signal control, and especially analyzes a procedure for determining the equilibrium queuing delays on saturated links for dynamic network signal control satisfying the FIFO (first-in-first-out) rule. The chaotic optimal algorithm proposed in this paper can not only present the optimal signal settings, but also calculate, at each interval, the link inflow rates and outflow rates for the dynamic user optimal problem, and provide real-time information for the travelers. Finally, a numerical example is given to illustrate the application of the proposed model and solution algorithm, and comparison shows that this model has better system performance.     

Generalized aggregation operators for intuitionistic fuzzy sets

The generalized ordered weighted averaging (GOWA) operators are a new class of operators, which were introduced by Yager (Fuzzy Optim Decision Making 2004;3:93–107). However, it seems that there is no investigation on these aggregation operators to deal with intuitionistic fuzzy or interval‐valued intuitionistic fuzzy information. In this paper, we first develop some new generalized aggregation operators, such as generalized intuitionistic fuzzy weighted averaging operator, generalized intuitionistic fuzzy ordered weighted averaging operator, generalized intuitionistic fuzzy hybrid averaging operator, generalized interval‐valued intuitionistic fuzzy weighted averaging operator, generalized interval‐valued intuitionistic fuzzy ordered weighted averaging operator, generalized interval‐valued intuitionistic fuzzy hybrid average operator, which extend the GOWA operators to accommodate the environment in which the given arguments are both intuitionistic fuzzy sets that are characterized by a membership function and a nonmembership function, and interval‐valued intuitionistic fuzzy sets, whose fundamental characteristic is that the values of its membership function and nonmembership function are intervals rather than exact numbers, and study their properties. Then, we apply them to multiple attribute decision making with intuitionistic fuzzy or interval‐valued intuitionistic fuzzy information. © 2009 Wiley Periodicals, Inc.     

广义区间上的泛逻辑自相关系数求解

广义自相关系数的求解是泛逻辑在不确定性推理中需要解决的关键问题之一。称任意[a,b]区间为广义区间,在广义区间上给出了广义N范数、广义N性生成元、广义自相关系数的定义。提出了由复杂系统参数的分布函数求解广义自相关系数的一般方法,给出并证明了重要的直通NLK公式。最后举例说明了求解k值的具体,为从数学模型和逻辑推理两个角度来分析复杂系统参数间的相关性提供了一种新的思路。     

Interval Gauss-Seidel Method for Generalized Solution Sets to Interval Linear Systems

In the paper, we advance a numerical technique for enclosing generalized AE-solution sets to interval linear systems. The main result of the paper is an extension of the well-known interval Gauss-Seidel method to the problems of outer estimation of these generalized solution sets. We give a theoretical study of the new method, prove an optimality property for the generalized interval Gauss-Seidel iteration applied to the systems with the interval M-matrices.     

A General Qualitative Framework for Temporal and Spatial Reasoning

To offer a generic framework which groups together several interval algebra generalizations, we simply define a generalized interval as a tuple of intervals. An atomic relation between two generalized intervals is a matrix of atomic relations of Interval Algebra. After introducing the generalized relations we focus on the consistency problem of generalized constraint networks and we present sets of generalized relations for which this problem is tractable, in particular the set of the strongly-preconvex relations.     

广义区间值模糊粗糙近似算子的构造研究

构造了一组新的广义模糊粗糙近似算子,将其拓展到区间上.在由任意的二元区间值模糊关系构成的广义近似空间中,证明了该组近似算子与区间化的广义Dubois模糊粗糙近似算子是等价的,最后在一般二元区间值模糊关系下对该组近似算子的性质进行了讨论.     

The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making

The Neutrosophic set and Hesitant set are the important and effective tools to describe the uncertain information. In this paper, we combine the interval neutrosophic sets and interval-valued hesitant fuzzy sets, and propose the concept of the interval neutrosophic hesitant fuzzy set (INHFS) in order to use the advantages of them. Then, we present the operations and comparison method of INHFS, and develop some new aggregation operators for the interval neutrosophic hesitant fuzzy information, including interval neutrosophic hesitant fuzzy generalized weighted operator, interval neutrosophic hesitant fuzzy generalized ordered weighted operator, and interval neutrosophic hesitant fuzzy generalized hybrid weighted operator, and discuss some properties. Furthermore, we propose the decision-making method for multiple attribute group decision making with interval neutrosophic hesitant fuzzy information, and give the detail decision steps. Finally, we give an illustrate example to show the process of decision making.     

Generalized Laguerre spectral method for Fisher's equation on a semi-infinite interval

In this paper, we propose a generalized Laguerre spectral method for Fisher's-type equation with inhomogeneous boundary conditions on a semi-infinite interval. By reformulating the equation with suitable functional transform, it is shown that the generalized Laguerre approximations are convergent on a semi-infinite interval with spectral accuracy. An efficient and accurate algorithm based on the generalized Laguerre approximations to the transformed equation is developed and implemented. Numerical results show the efficiency of this approach and coincide well with theoretical analysis.     

基于多元异构不确定性案例学习的广义区间灰数熵权聚类模型

现实生活中多数聚类对象具有多元异构不确定性特征,表现为对象聚类指标体系异构化以及对象信息具有多元不确定性特点,而现有的不确定性多属性聚类决策方法对此类对象的聚类研究具有局限性.为此,针对聚类问题,首先,根据聚类对象多元不确定性信息的特点,提出广义区间灰数的概念,证明多元不确定性信息可统一用广义区间灰数进行表征;然后,结合极大熵思想,构建基于多元异构不确定性案例学习的广义区间灰数熵权配置模型,通过对对象相关的历史案例进行充分学习,测算各层指标的广义区间灰数熵权,以此确定各指标的聚类权重,再结合广义区间灰数的白化权函数对对象的新案例进行聚类分析;最后,通过案例研究验证所提出聚类模型的合理性和可行性.