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High-gain adaptive boundary stabilization for an axially moving string subject to unbounded boundary disturbance 受无界边界扰动的轴向运动弦的高增益自适应边界稳定
IF 1 Q3 Mathematics Pub Date : 2021-06-30 DOI: 10.52846/ami.v48i1.1398
Belgacem Tikialine, Hadj Ammar Tedjani, A. Kelleche
In this paper, we are interested to stabilize an axially moving string subject to external disturbances. We assume that the disturbance may increases exponentially. We employ the active disturbance rejection control (ADRC) approach to estimate the disturbance. We design a disturbance observer that has time-varying gain so that the disturbance can be estimated with an exponential way. In order to stabilize the closed loop system, we use a control constructed through a high-gain adaptive velocity feedback. The existence and uniqueness of solution of the closed loop system is dealt with in the framework of the nonlinear semigroup theory by using a theorem due to Crandall-Liggett. It is shown that the formulated control is capable of stabilizing exponentially the closed loop system. The obtained results are also valid for the immobile case ($v=0$) and the present work improves certain previous results.
在本文中,我们感兴趣的是稳定受外界干扰的轴向运动弦。我们假定扰动可能呈指数增长。我们采用自抗扰控制(ADRC)方法来估计扰动。我们设计了一个时变增益的扰动观测器,使扰动可以用指数法估计。为了稳定闭环系统,我们使用了一个高增益自适应速度反馈构造的控制器。利用Crandall-Liggett的一个定理,在非线性半群理论的框架下讨论了闭环系统解的存在唯一性。结果表明,所提出的控制方法具有指数稳定闭环系统的能力。所得结果也适用于固定情况($v=0$),并且改进了先前的某些结果。
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引用次数: 1
Comments on the paper "A. Zada, B. Dayyan, Stability analysis for a class of implicit fractional differential equations with instantaneous impulses and Riemann--Liouville boundary conditions, Ann. Univ. Craiova, Math. Comput. Sci. Ser., (2020), 88-110" a . Zada, B. Dayyan,一类具有瞬时脉冲和Riemann—Liouville边界条件的隐式分数阶微分方程的稳定性分析。克拉约瓦大学,数学专业。第一版。科学。爵士。,(2020), 88-110”
IF 1 Q3 Mathematics Pub Date : 2021-06-30 DOI: 10.52846/ami.v48i1.1469
S. Hristova, A. Zada
"Caputo fractional differential equations with impulses are a very useful apparatus for adequate modeling of the dynamics of many rea world problems. It requires developments of good and consistent theoretical proofs and the results for various problems. In this note we point out and correct the statement of the boundary value problem with Riemann--Liouville fractional integral for impulsive Caputo fractional differential equation studied in the paper "" A. Zada, B. Dayyan, Stability analysis for a class of implicit fractional differential equations with instantaneous impulses and Riemann--Liouville boundary conditions, Ann. Univ. Craiova, Math. Comput. Sci. Ser., 47 (2020), 88-110."""
“带脉冲的卡普托分数阶微分方程是一种非常有用的工具,可以充分模拟许多现实世界问题的动力学。它要求对各种问题发展出良好和一致的理论证明和结果。a . Zada, B. Dayyan,一类具有瞬时脉冲和Riemann- Liouville边界条件的隐式分数阶微分方程的稳定性分析,在本文中,我们指出并修正了论文中研究的脉冲Caputo分数阶微分方程的Riemann- Liouville分数积分边值问题的表述。克拉约瓦大学,数学专业。第一版。科学。爵士。, 47(2020), 88-110。”""
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引用次数: 0
Pattern recognition based on multiple attribute decision making in intuitionistic fuzzy environment 直觉模糊环境下基于多属性决策的模式识别
IF 1 Q3 Mathematics Pub Date : 2021-06-30 DOI: 10.52846/ami.v48i1.1465
I. Iancu
In this paper we adapt an algorithm from the multiple attribute decision making field in order to be used in pattern recognition, working with intuitionistic fuzzy sets and intuitionistic fuzzy multi sets. Our method is implemented in two versions: using the score matrix (that is characteristic of decision making problems) and using a similarity measure (that is characteristic of pattern recognition problems). Firstly, the method is built to work with intuitionistic fuzzy sets and after it is extended for intuitionistic fuzzy multi sets. Experimental results demonstrate the superiority of the second versions in pattern recognition problems. For each example we compare our results with those given by other measures whose accuracy has been validated by the respective examples and we conclude that our method can be successfully used in pattern recognition instead of some specific methods in this area.
本文采用多属性决策领域中的一种算法,将其应用于模式识别中,处理直觉模糊集和直觉模糊多集。我们的方法有两个版本:使用得分矩阵(这是决策问题的特征)和使用相似性度量(这是模式识别问题的特征)。首先将该方法应用于直觉模糊集,然后将其推广到直觉模糊多集。实验结果证明了第二种方法在模式识别问题中的优越性。对于每个例子,我们将我们的结果与其他方法给出的结果进行了比较,这些方法的准确性已被各自的例子验证,我们得出结论,我们的方法可以成功地用于模式识别,而不是该领域的某些特定方法。
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引用次数: 0
Statistical Convergence of Triple Sequences on Probabilistic Normed Space 概率赋范空间上三重序列的统计收敛性
IF 1 Q3 Mathematics Pub Date : 2012-12-15 DOI: 10.14419/GJMA.V1I2.885
E. Savaş, A. Esi
The concept of statistical convergence was presented by Fast [18]. This concept was extended to the double sequences by Mursaleen and Edely 23 . In this paper, we define statistical analogues of convergence and Cauchy for triple sequences on probabilistic normed space.
Fast提出了统计收敛的概念[18]。这个概念被Mursaleen和Edely扩展到双序列。本文定义了概率赋范空间上三重序列收敛性和柯西性的统计类似。
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引用次数: 29
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Annals of the University of Craiova-Mathematics and Computer Science Series
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