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Subresiduated Nelson algebras 亚残差纳尔逊代数
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-29 DOI: 10.1016/j.fss.2024.109170
Noemí Lubomirsky , Paula Menchón , Hernán Javier San Martín
In this paper we generalize the well known relation between Heyting algebras and Nelson algebras in the framework of subresiduated lattices. In order to make it possible, we introduce the variety of subresiduated Nelson algebras. The main tool for its study is the construction provided by Vakarelov. Using it, we characterize the lattice of congruences of a subresiduated Nelson algebra through some of its implicative filters. We use this characterization to describe simple and subdirectly irreducible algebras, as well as principal congruences. Moreover, we prove that the variety of subresiduated Nelson algebras has equationally definable principal congruences and also the congruence extension property. Additionally, we present an equational base for the variety generated by the totally ordered subresiduated Nelson algebras. Finally, we show that there exists an equivalence between the algebraic category of subresiduated lattices and the algebraic category of centedred subresiduated Nelson algebras.
在本文中,我们在亚残留网格的框架内推广了海廷代数和纳尔逊代数之间众所周知的关系。为了使之成为可能,我们引入了亚残差纳尔逊代数的种类。研究它的主要工具是瓦卡雷洛夫提供的构造。利用它,我们通过一些蕴涵滤波器来表征亚残余纳尔逊代数的同余网格。我们利用这一表征来描述简单和次直接不可还原代数以及主全等。此外,我们还证明了亚残余纳尔逊代数的种类具有等式定义的主全同和全同扩展性质。此外,我们还提出了由完全有序的亚残余纳尔逊代数产生的代数库。最后,我们证明了亚残差格代数范畴与有心亚残差纳尔逊代数范畴之间存在等价关系。
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引用次数: 0
Output-feedback control design for Takagi-Sugeno fuzzy systems through Lyapunov functions depending polynomially on the states 通过取决于多项式状态的 Lyapunov 函数设计高木-菅野模糊系统的输出反馈控制装置
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-29 DOI: 10.1016/j.fss.2024.109156
Yara Quilles-Marinho, Ricardo C.L.F. Oliveira, Pedro L.D. Peres
This paper proposes a new strategy based on linear matrix inequalities (LMIs) for the synthesis of state- and output-feedback controllers through parallel distributed compensation for continuous-time Takagi-Sugeno fuzzy systems. The main novelty of the proposed design technique is the use of homogeneous polynomial Lyapunov functions of degree larger than two on the states, generalizing the results based on quadratic functions. Parametrized in terms of a constant matrix, those homogeneous polynomial Lyapunov functions provide less conservative results in terms of stability and decay rate of trajectories when dealing with membership functions whose time-derivatives have unknown bounds. The synthesis procedure is formulated in terms of a locally convergent iterative algorithm, where a set of LMIs defined in an augmented parameter space is solved at each iteration. Numerical examples are used to compare the proposed method with quadratic stabilizability techniques available in the literature, illustrating the advantages of higher degree Lyapunov functions.
本文提出了一种基于线性矩阵不等式(LMI)的新策略,用于通过并行分布式补偿合成连续时间高木-菅野模糊系统的状态和输出反馈控制器。所提设计技术的主要新颖之处在于使用了阶数大于 2 的同次多项式 Lyapunov 函数,从而推广了基于二次函数的结果。这些同次多项式 Lyapunov 函数以常数矩阵为参数,在处理时间导数具有未知边界的成员函数时,在轨迹的稳定性和衰减率方面提供了不太保守的结果。合成过程采用局部收敛迭代算法,每次迭代都会求解一组在增强参数空间中定义的 LMI。利用数值示例比较了所提出的方法和文献中的二次稳定技术,说明了高阶 Lyapunov 函数的优势。
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引用次数: 0
A design of sliding mode control for uncertain T-S fuzzy systems with multiple input matrices 具有多输入矩阵的不确定 T-S 模糊系统的滑模控制设计
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-28 DOI: 10.1016/j.fss.2024.109154
Yingying Wang, Jianyu Zhang, Xin Li, Qing Luo
This paper investigates how to design a sliding mode surface and construct a sliding controller to stabilize a uncertain T-S fuzzy system with multiple input matrices and matched disturbances. The method proposed in this paper can expand the effective scope of sliding mode control into uncertain fuzzy systems even if there are not assumptions of input matrices. In order to expand the effective scope of controlled systems, firstly, transform the form of input matrices of system plants into a new input matrix B. Secondly, design a new sliding mode surface according to all the input matrices. It contains q sub-sliding surfaces. The number q is the column number of input matrix B. Thirdly, according to sliding mode theorem, the equivalent controller can be deduced. But, it may be nonexistence. A judgment criterion for the existence of the controller is given as a lemma. By use of the proposed sliding surface, a new sliding controller is constructed. It can settle the confliction difficult between sliding surface and input matrices. And it can make the system reach the sliding surface and keep on it thereafter. At last, two examples are given to illustrate the effectiveness of this paper.
本文研究了如何设计滑动模态面和构建滑动控制器,以稳定具有多个输入矩阵和匹配干扰的不确定 T-S 模糊系统。即使没有输入矩阵假设,本文提出的方法也能将滑模控制的有效范围扩大到不确定模糊系统。为了扩大控制系统的有效范围,首先要将系统植物的输入矩阵形式转换为新的输入矩阵 B。其次,根据所有输入矩阵设计新的滑模面。它包含 q 个子滑动面。q 是输入矩阵 B 的列数。第三,根据滑模定理,可以推导出等效控制器。但是,它可能不存在。现给出一个控制器是否存在的判断标准,作为一个两难问题。利用所提出的滑动面,构建了一个新的滑动控制器。它能解决滑动面与输入矩阵之间的冲突难题。它还能使系统到达滑动面并保持在滑动面上。最后,本文举了两个例子来说明其有效性。
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引用次数: 0
ECM+: An improved evidential c-means with adaptive distance ECM+:具有自适应距离的改进型证据 c-means
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-24 DOI: 10.1016/j.fss.2024.109168
Benoît Albert, Violaine Antoine, Jonas Koko
Evidential c-means (ECM) is a prototype-based clustering algorithm that generates a credal partition. Such a partition encompasses the notions that can be encountered with a hard, fuzzy or possibilistic partition, allowing the representation of various situations concerning the class membership of an object. The ECM method provides a prototype for each subset of the possible classes, calculated by averaging the prototypes of the classes included in the subsets. Although this definition perfectly suits ECM when employing a Euclidean distance, it becomes inappropriate when using a Mahalanobis distance. In this context, a new definition of prototypes for the subsets is proposed. The ECM objective function is then optimized using the new definition of prototypes. The subsequent algorithm, named ECM+, is finally tested on various synthetic and real data sets to demonstrate its interest compared to ECM.
证据 c-均值(ECM)是一种基于原型的聚类算法,它能生成一个可信的分区。这种分区包含了硬分区、模糊分区或可能性分区中可能遇到的概念,可以表示与对象的类别成员资格有关的各种情况。ECM 方法为每个可能类别的子集提供了一个原型,该原型是通过平均子集中包含的类别的原型计算得出的。虽然这一定义在使用欧氏距离时非常适合 ECM,但在使用马哈罗诺比距离时就变得不合适了。在这种情况下,我们提出了子集原型的新定义。然后使用新定义的原型对 ECM 目标函数进行优化。最后,在各种合成数据集和真实数据集上测试了名为 ECM+ 的后续算法,以证明其与 ECM 相比的优势。
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引用次数: 0
Stability of high-order nonlinear Takagi–Sugeno fuzzy impulsive delayed coupled systems 高阶非线性高木-菅野模糊脉冲延迟耦合系统的稳定性
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-22 DOI: 10.1016/j.fss.2024.109164
Haoming Han , Shixu Zhao , Jing Zhang , Yan Liu
In this study, we consider the stability of high-order nonlinear Takagi–Sugeno fuzzy impulsive delayed coupled systems (TSFICSs). It should be noted that the linear growth condition is removed in the investigation of high-order nonlinear TSFICSs, which weakens the conditions compared with previous studies of impulsive systems. In addition, the existing research methods do not work for high-order nonlinear TSFICSs, so novel impulsive differential inequalities with high-order terms are established to investigate the stabilization of high-order nonlinear TSFICSs and develop the classic impulsive differential inequalities for high-order nonlinear situations. Next, sufficient conditions for the stability are obtained based on the new impulsive differential inequalities together with graph theory and the Lyapunov method. Finally, the theoretical results are applied to modified impulsive delayed coupled Fitzhugh–Nagumo models, and numerical simulations are provided to illustrate the practical value of the derived results.
在本研究中,我们考虑了高阶非线性高木-菅野模糊脉冲延迟耦合系统(TSFICSs)的稳定性。需要注意的是,在对高阶非线性 TSFICS 的研究中取消了线性增长条件,这与之前对脉冲系统的研究相比弱化了条件。此外,现有的研究方法对高阶非线性 TSFICS 不适用,因此建立了带有高阶项的新型脉冲微分不等式来研究高阶非线性 TSFICS 的稳定问题,并发展了高阶非线性情况下的经典脉冲微分不等式。接着,基于新的脉冲微分不等式,结合图论和 Lyapunov 方法,得到了稳定性的充分条件。最后,将理论结果应用于修正的脉冲延迟耦合 Fitzhugh-Nagumo 模型,并通过数值模拟来说明推导结果的实用价值。
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引用次数: 0
Bhatia-Davis inequalities for lower and upper previsions and covariances Bhatia-Davis 下部和上部前值及协方差不等式
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-18 DOI: 10.1016/j.fss.2024.109145
Renato Pelessoni, Paolo Vicig
We explore how the classical Bhatia-Davis inequality bounding variances can be extended to uncertainty evaluations of gambles (bounded random numbers) by means of imprecise (lower or upper) previsions with different degrees of consistency. Firstly, a number of extensions are found with 2-coherent imprecise previsions. Subsequently, bounds with coherent lower and upper previsions are investigated, together with applications bounding lower and upper variances as well as p-boxes. Finally, bounds for covariances and for lower and upper covariances are obtained. Like the classical situation, imprecise Bhatia-Davis inequalities require a reduced amount of uncertainty information to be applied. When even less information is available, we show that various versions of Popoviciu's inequality obtain.
我们探讨了经典的巴蒂亚-戴维斯(Bhatia-Davis)不等式如何通过不同一致性程度的不精确(下限或上限)预设,扩展到赌局(有界随机数)的不确定性评估。首先,利用 2 一致性不精确预设找到了一些扩展。随后,研究了一致的下部和上部预设的边界,以及下部和上部方差和 p 方框的应用边界。最后,我们得到了协方差以及下协方差和上协方差的边界。与经典情况一样,不精确的巴蒂亚-戴维斯不等式需要更少的不确定性信息才能应用。当可用信息更少时,我们证明可以得到各种版本的波波维奇不等式。
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引用次数: 0
Uncertainty merging with basic uncertain information in probability environment 概率环境中的不确定性与基本不确定性信息的融合
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-18 DOI: 10.1016/j.fss.2024.109153
LeSheng Jin , Yi Yang , Zhen-Song Chen , Muhammet Deveci , Radko Mesiar
Basic uncertain information is a recently introduced and significant type of uncertainty that proves particularly valuable in decision-making environments with inherent uncertainties. In this study, we propose the concept of uncertainty cognition merging, which effectively combines basic uncertain information granules with probability measures to generate new probability measures within the same probability space. Additionally, we present a degenerated method that merges basic uncertain information granules with unit intervals to create new subintervals. We introduce four distinct uncertainty cognition merging methods and thoroughly compare and analyze their respective properties, limitations, and advantages. To demonstrate the practical application potential of our proposals, we provide numerical examples alongside further mathematical results.
基本不确定信息是最近引入的一种重要的不确定类型,在具有内在不确定性的决策环境中证明特别有价值。在本研究中,我们提出了不确定性认知合并的概念,它能有效地将基本不确定信息颗粒与概率度量相结合,从而在同一概率空间内生成新的概率度量。此外,我们还提出了一种退化方法,将基本不确定信息颗粒与单位区间合并,以创建新的子区间。我们介绍了四种不同的不确定性认知合并方法,并深入比较和分析了它们各自的特性、局限性和优势。为了展示我们建议的实际应用潜力,我们在提供进一步数学结果的同时,还提供了数值示例。
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引用次数: 0
Estimation of the domain of attraction for continuous-time saturated positive polynomial fuzzy systems based on novel analysis and convexification strategies 基于新型分析和凸化策略的连续时间饱和正多项式模糊系统吸引力域估计
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-18 DOI: 10.1016/j.fss.2024.109155
Meng Han , Yongjie Huang , Ge Guo , H.K. Lam , Zhengsong Wang
In this paper, the domain of attraction (DOA) of the continuous-time positive polynomial fuzzy systems subject to input saturation is estimated by using the level set of the linear copositive Lyapunov function. To relax the estimation of DOA, the restriction on the level set is removed by embedding the expression of the level set into the stability conditions and positivity conditions. Referring to the nonconvex terms caused by above novel analysis strategy, some polynomial inequality lemmas are proposed to handle them; the nonconvex terms caused by imperfect premise matching (IPM) nonlinear membership functions are dealt with by sector nonlinear methods and advanced Chebyshev membership-function-dependent (MFD) methods. In this advanced MFD method, the state space segmentation and polynomial order selection of the Chebyshev approximation method are improved based on breakpoints of the first derivative and curvature, respectively, which is helpful to reduce the conservatism and computational burden of the result. Thus, this advanced Chebyshev MFD method not only optimizes the convexification strategy, but also can further be extended to estimate the DOA when it is used to introduce the membership functions information for convex stability and positivity conditions. Finally, a numerical example and the lipoprotein metabolism and potassium ion transfer nonlinear model are presented to validate the effectiveness and feasibility of the aforementioned analysis and convexification strategies in the expansion of DOA estimation.
本文利用线性共正 Lyapunov 函数的水平集来估计受输入饱和影响的连续时间正多项式模糊系统的吸引域(DOA)。为了放宽对 DOA 的估计,通过将水平集的表达式嵌入稳定性条件和正向性条件,消除了对水平集的限制。针对上述新颖分析策略引起的非凸项,提出了一些多项式不等式定理来处理它们;对于不完全前提匹配(IPM)非线性成员函数引起的非凸项,则采用扇形非线性方法和高级切比雪夫成员函数依赖(MFD)方法来处理。在这种先进的 MFD 方法中,切比雪夫近似方法的状态空间分割和多项式阶数选择分别根据一阶导数和曲率的断点进行了改进,这有助于减少结果的保守性和计算负担。因此,这种先进的切比雪夫 MFD 方法不仅优化了凸化策略,而且当它用于引入凸稳定性和正性条件的成员函数信息时,还能进一步扩展到估计 DOA。最后,通过一个数值实例和脂蛋白代谢与钾离子传递非线性模型,验证了上述分析和凸化策略在扩展 DOA 估计中的有效性和可行性。
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引用次数: 0
New results on α-cuts of type-2 fuzzy sets 关于 2 型模糊集 α 切分的新成果
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-17 DOI: 10.1016/j.fss.2024.109152
Wei Zhang , Bao Qing Hu
The α-cut (i.e., α-plane) of type-2 fuzzy sets is a very useful tool for computation. However, there are some theoretical mistakes in type-2 fuzzy sets literature discussing the topic of α-cuts. This paper will illustrate these mistakes through examples and specifically address the two new questions induced by them: (1) Taking the α-cut (resp. α-strong cut) of the result obtained by performing a T-extension operation of ⁎ (i.e., t-norm extension operation of a general binary operation) on two type-2 fuzzy sets is equal to what? (2) What conditions are required for taking the α-cut (resp. α-strong cut) of the result obtained by performing a T-extension operation of ⁎ on two type-2 fuzzy sets to be equal to performing the ⁎ operation on the α-cuts (resp. α-strong cuts) of these two type-2 fuzzy sets? Finally, we will get a comprehensive answer to these two questions.
2 型模糊集的 α 切(即 α 平面)是一种非常有用的计算工具。然而,在讨论 α 切的主题时,2 型模糊集文献中存在一些理论错误。本文将通过实例来说明这些错误,并具体讨论由这些错误引发的两个新问题:(1)取对⁎进行 T-扩展操作(即、(2) 在两个 2 型模糊集合上执行⁎的 T 扩展操作(即一般二进制操作的 t-norm 扩展操作)得到的结果的 α 切(即 α-强切)等于在这两个 2 型模糊集合的 α 切(即 α-强切)上执行⁎操作,需要什么条件?最后,我们将得到这两个问题的综合答案。
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引用次数: 0
On differentiability and mass distributions of typical bivariate copulas 论典型双变量协方差的可微分性和质量分布
IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2024-10-16 DOI: 10.1016/j.fss.2024.109150
Nicolas Pascal Dietrich, Wolfgang Trutschnig
Despite the fact that copulas are commonly considered as analytically smooth/regular objects, derivatives of copulas have to be handled with care. Triggered by a recently published result characterizing multivariate copulas via (d1)-increasingness of their partial derivative we study the bivariate setting in detail and show that the set of non-differentiability points of a copula may be quite large. We first construct examples of copulas C whose first partial derivative 1C(x,y) is pathological in the sense that for almost every x(0,1) it does not exist on a dense subset of y(0,1), and then show that the family of these copulas is dense. Since in commonly considered subfamilies more regularity might be typical, we then focus on bivariate Extreme Value copulas (EVCs) and show that a topologically typical EVC is not absolutely continuous but has degenerated discrete component, implying that in this class typically 1C(x,y) exists in full (0,1)2.
Considering that regularity of copulas is closely related to their mass distributions we then study mass distributions of topologically typical copulas and prove the surprising fact that topologically typical bivariate copulas are mutually completely dependent with full support. Furthermore, we use the characterization of EVCs in terms of their associated Pickands dependence measures ϑ on [0,1], show that regularity of ϑ carries over to the corresponding EVC and prove that the subfamily of all EVCs whose absolutely continuous, discrete and singular component has full support is dense in the class of all EVCs.
尽管共线性通常被视为分析上平滑/规则的对象,但必须谨慎处理共线性的导数。最近发表的一项结果通过偏导数的(d-1)递增来描述多变量共线性,受此启发,我们详细研究了二变量设置,并证明共线性的无差异点集合可能相当大。我们首先构建了共线方程 C 的实例,其第一偏导数 ∂1C(x,y)是病态的,即对于几乎每一个 x∈(0,1),它都不存在于 y∈(0,1)的稠密子集上,然后证明这些共线方程的族是稠密的。由于在通常考虑的子族中,更多的规则性可能是典型的,因此我们将重点放在双变量极值共线性(EVC)上,并证明拓扑上典型的 EVC 不是绝对连续的,而是具有退化的离散分量,这意味着在这一类中,典型的 ∂1C(x,y) 存在于全(0,1)2 中。考虑到协方差的正则性与其质量分布密切相关,我们接下来研究拓扑典型协方差的质量分布,并证明拓扑典型双变量协方差互为完全依赖且具有全支持这一惊人事实。此外,我们用[0,1]上与之相关的皮康斯隶属度量ϑ来描述EVC,证明ϑ的正则性会延续到相应的EVC,并证明所有EVC的绝对连续、离散和奇异分量具有全支持的子族在所有EVC类中是密集的。
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引用次数: 0
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Fuzzy Sets and Systems
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