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Proving the Stability of the Rolling Navigation 证明了滚动导航的稳定性
Pub Date : 2023-02-23 DOI: 10.14232/actacyb.295941
Auguste Bourgois, A. Chaabouni, A. Rauh, L. Jaulin
In this paper, we propose to study the stability of a navigation method that allows a robot to move in an unstructured environment without compass by measuring a scalar function φ which only depends on the position. The principle is to ask the robot to roll along an isovalue of φ . Using an interval method, we prove the stability of our closed loop system in the special case where φ is linear.
在本文中,我们提出通过测量仅依赖于位置的标量函数φ来研究一种允许机器人在没有指南针的非结构化环境中移动的导航方法的稳定性。原理是让机器人沿φ等值滚动。利用区间方法证明了在φ为线性的特殊情况下闭环系统的稳定性。
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引用次数: 0
Quantification of Time-Domain Truncation Errors for the Reinitialization of Fractional Integrators 分数阶积分器重初始化的时域截断误差量化
Pub Date : 2022-10-28 DOI: 10.14232/actacyb.296010
A. Rauh, R. Malti
In recent years, fractional differential equations have received a significant increase in their use for modeling a wide range of engineering applications. In such cases, they are mostly employed to represent non-standard dynamics that involve long-term memory effects or to represent the dynamics of system models that are identified from measured frequency response data in which magnitude and phase variations are observed that could be captured either by low-order fractional models or high-order rational ones. Fractional models arise also when synthesizing CRONE (Commande Robuste d'Ordre Non Entier) and/or fractional PID controllers for rational or fractional systems. In all these applications, it is frequently required to transform the frequency domain representation into time domain. When doing so, it is necessary to carefully address the issue of the initialization of the pseudo state variables of the time domain system model. This issue is discussed in this article for the reinitialization of fractional integrators which arises among others when solving state estimation tasks for continuous-time systems with discrete-time measurements. To quantify the arising time-domain truncation errors due to integrator resets, a novel interval observer-based approach is presented and, finally, visualized for a simplified battery model.
近年来,分数阶微分方程在广泛的工程应用中得到了越来越多的应用。在这种情况下,它们主要用于表示涉及长期记忆效应的非标准动态,或表示从测量的频率响应数据中识别的系统模型的动态,其中观察到的幅度和相位变化可以通过低阶分数阶模型或高阶有理数模型捕获。分数模型也出现在合成CRONE(命令鲁棒非整数)和/或分数PID控制器的理性或分数系统。在所有这些应用中,经常需要将频域表示转换为时域表示。当这样做时,有必要仔细处理时域系统模型的伪状态变量的初始化问题。本文讨论了在求解具有离散时间测量的连续时间系统的状态估计任务时出现的分数阶积分器的重新初始化问题。为了量化积分器重置引起的时域截断误差,提出了一种新的基于区间观测器的方法,并对简化的电池模型进行了可视化。
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引用次数: 0
Inverses of Rational Functions 有理函数的逆
Pub Date : 2022-10-28 DOI: 10.14232/actacyb.294975
Tamás Dózsa
We consider the numerical construction of inverses for a class of rational functions. We propose two inverse algorithms, which can be used to simultaneously identify every zero of a rational function or polynomial. In the first case, we propose a generalization of an inverse algorithm based on our previous work and specify a class of rational functions, for which this generalized algorithm is applicable. In the second case, we provide a method to construct Blaschke-products, whose roots match the roots of a polynomial or a rational function. We also consider different iterative methods to numerically calculate the inverse points and discuss their properties.
我们考虑了一类有理函数的逆函数的数值构造。我们提出了两种逆算法,可用于同时识别有理函数或多项式的每一个零。在第一种情况下,我们在之前工作的基础上提出了一种逆算法的推广,并指定了一类适用于该推广算法的有理函数。在第二种情况下,我们提供了一种构造blaschke -积的方法,其根匹配多项式或有理函数的根。我们还考虑了不同的迭代方法来数值计算逆点,并讨论了它们的性质。
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引用次数: 1
The Inventory Control Problem for a Supply Chain With a Mixed Type of Demand Uncertainty 具有混合需求不确定性的供应链库存控制问题
Pub Date : 2022-09-02 DOI: 10.14232/actacyb.295044
E. Chausova
This paper is concerned with a dynamic inventory control system described by a network model where the nodes are warehouses and the arcs represent production and distribution activities. We assume that an uncertain demand may take any value in an assigned interval and we allow that the system is disturbed by noise inputs. These assumptions yield a model with a mix of interval and stochastic demand uncertainties. We use the method of model predictive control to derive the control strategy. To deal with interval uncertainty we use the interval analysis tools and act according to the interval analysis theory. The developed results are illustrated using a numerical example.
本文研究了一个用网络模型描述的动态库存控制系统,其中节点代表仓库,圆弧代表生产和分配活动。我们假设不确定的需求可以在给定的区间内取任意值,并允许系统受到噪声输入的干扰。这些假设产生了一个混合了区间和随机需求不确定性的模型。采用模型预测控制方法推导控制策略。为了处理区间不确定性,我们运用区间分析工具,并根据区间分析理论来处理。最后用数值算例说明了所得结果。
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引用次数: 0
On Some Convergence Properties for Finite Element Approximations to the Inverse of Linear Elliptic Operators 线性椭圆算子逆的有限元逼近的收敛性
Pub Date : 2022-09-02 DOI: 10.14232/actacyb.294906
T. Kinoshita, Yoshitaka Watanabe, M. Nakao
This paper deals with convergence theorems of the Galerkin finite element approximation for the second-order elliptic boundary value problems. Under some quite general settings, we show not only the pointwise convergence but also prove that the norm of approximate operator converges to the corresponding norm for the inverse of a linear elliptic operator. Since the approximate norm estimates of linearized inverse operator play an essential role in the numerical verification method of solutions for non-linear elliptic problems, our result is also important in terms of guaranteeing its validity. Furthermore, the present method can also be applied to more general elliptic problems, e.g., biharmonic problems and so on.
研究二阶椭圆型边值问题的Galerkin有限元逼近的收敛性定理。在一些相当一般的情况下,我们不仅证明了近似算子的点向收敛性,而且证明了近似算子的范数收敛于线性椭圆算子的逆的相应范数。由于线性化逆算子的近似范数估计在非线性椭圆问题解的数值验证方法中起着至关重要的作用,因此我们的结果对于保证其有效性也很重要。此外,该方法还可应用于更一般的椭圆型问题,如双调和问题等。
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引用次数: 0
Instantiation of Java Generics Java泛型实例化
Pub Date : 2022-01-21 DOI: 10.14232/actacyb.284073
Péter Soha, Norbert Pataki
Type parametrization is an essential construct in modern programming languages. On one hand, Java offers generics, on the other hand, C++ offers templates for highly reusable code. The mechanism between these constructs differs and affects usage and runtime performance, as well. Java uses type erasure, C++ deals with instantiations.In this paper, we argue for an approach in Java which is similar to C++ template construct. We evaluate the runtime performance of instantiated code and we present our tool which is able to use Java generics as templates. This tool generates Java source code. We present how this approach improves the usage of Java generics.
类型参数化是现代程序设计语言的基本结构。一方面,Java提供泛型,另一方面,c++为高度可重用的代码提供模板。这些构造之间的机制不同,也会影响使用和运行时性能。Java使用类型擦除,c++处理实例化。在本文中,我们主张在Java中采用一种类似于c++模板结构的方法。我们评估了实例化代码的运行时性能,并展示了能够使用Java泛型作为模板的工具。该工具生成Java源代码。我们介绍了这种方法如何改进Java泛型的使用。
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引用次数: 0
Affine Iterations and Wrapping Effect: Various Approaches 仿射迭代和包裹效应:各种方法
Pub Date : 2022-01-03 DOI: 10.14232/actacyb.295251
N. Revol
Affine iterations of the form xn+1=Axn+b converge, using real arithmetic, if the spectral radius of the matrix A is less than 1. However, substituting interval arithmetic to real arithmetic may lead to divergence of these iterations, in particular if the spectral radius of the absolute value of A is greater than 1. We will review  different approaches to limit the overestimation of the iterates, when the components of the initial vector x(0) and b are intervals. We will compare, both theoretically and experimentally, the widths of the iterates computed by these different methods: the naive iteration, methods based on the QR- and SVD-factorization of A, and Lohner's QR-factorization method. The method  based on the SVD-factorization is computationally less demanding and gives good results when the matrix is poorly scaled, it is superseded either by the naive iteration or by Lohner's method otherwise.
如果矩阵A的谱半径小于1,则形式为xn+1=Axn+b的仿射迭代使用实算法收敛。但是,将区间算法替换为实数算法可能会导致这些迭代的发散,特别是当A的绝对值的谱半径大于1时。当初始向量x(0)和b的分量是区间时,我们将回顾不同的方法来限制迭代的高估。我们将从理论上和实验上比较这些不同方法计算的迭代宽度:朴素迭代,基于A的QR和svd分解的方法,以及Lohner的QR分解方法。基于奇异值分解的方法计算量小,在矩阵尺度较差的情况下能得到较好的结果,否则可被朴素迭代法或Lohner方法所取代。
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引用次数: 0
Access Control of EHR Records in a Heterogeneous Cloud Infrastructure 异构云基础架构下的电子病历访问控制
Pub Date : 2021-12-07 DOI: 10.14232/actacyb.290283
Zoltán Szabó, Vilmos Bilicki
Since the advent of smartphones, IoT and cloud computing, we have seen an industry-wide requirement to integrate different healthcare applications with each other and with the cloud, connecting multiple institutions or even countries. But despite these trends, the domain of access control and security of sensitive healthcare data still raises a serious challenge for multiple developers and lacks the necessary definitions to create a general security framework addressing these issues. Taking into account newer, more special cases, such as the popular heterogeneous infrastructures with a combination of public and private clouds, fog computing, Internet of Things, the area becomes more and more complicated. In this paper we will introduce a categorization of these required policies, describe an infrastructure as a possible solution to these security challenges, and finally evaluate it with a set of policies based on real-world requirements.
自从智能手机、物联网和云计算出现以来,我们看到整个行业都需要将不同的医疗保健应用程序相互集成并与云集成,以连接多个机构甚至国家。但是,尽管有这些趋势,敏感医疗数据的访问控制和安全领域仍然给多个开发人员带来了严重的挑战,并且缺乏必要的定义来创建解决这些问题的通用安全框架。考虑到更新、更特殊的情况,如流行的公有云和私有云结合的异构基础设施、雾计算、物联网等,这一领域变得越来越复杂。在本文中,我们将介绍这些所需策略的分类,将基础设施描述为应对这些安全挑战的可能解决方案,最后使用一组基于实际需求的策略对其进行评估。
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引用次数: 1
Traquest Model: A Novel Model for ACID Concurrent Computations 任务模型:一种新的ACID并发计算模型
Pub Date : 2021-12-07 DOI: 10.14232/actacyb.288765
D. B. Rátai, Zoltán Horváth, Z. Porkoláb, M. Tóth
Atomicity, consistency, isolation and durability are essential properties of many distributed systems. They are often abbreviated as the ACID properties. Ensuring ACID comes with a price: it requires extra computing and network capacity to ensure that the atomic operations are done perfectly, or they are rolled back. When we have higher requirements on performance, we need to give up the ACID properties entirely or settle for eventual consistency. Since the ambiguity of the order of the events, such algorithms can get very complicated since they have to be prepared for any possible contingencies. Traquest model is an attempt for creating a general concurrency model that can bring the ACID properties without sacrificing a too significant amount of performance.
原子性、一致性、隔离性和持久性是许多分布式系统的基本属性。它们通常缩写为ACID属性。确保ACID是有代价的:它需要额外的计算和网络容量来确保原子操作完美完成,否则就会回滚。当我们对性能有更高的要求时,我们需要完全放弃ACID属性,或者满足于最终的一致性。由于事件顺序的模糊性,这种算法可能会变得非常复杂,因为它们必须为任何可能的偶然事件做好准备。Traquest模型是一种创建通用并发模型的尝试,它可以在不牺牲太多性能的情况下实现ACID属性。
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引用次数: 0
Zero Initialized Active Learning with Spectral Clustering using Hungarian Method 基于匈牙利方法的光谱聚类零初始化主动学习
Pub Date : 2021-12-07 DOI: 10.14232/actacyb.288006
Dávid Papp
Supervised machine learning tasks often require a large number of labeled training data to set up a model, and then prediction - for example the classification - is carried out based on this model. Nowadays tremendous amount of data is available on the web or in data warehouses, although only a portion of those data is annotated and the labeling process can be tedious, expensive and time consuming. Active learning tries to overcome this problem by reducing the labeling cost through allowing the learning system to iteratively select the data from which it learns. In special case of active learning, the process starts from zero initialized scenario, where the labeled training dataset is empty, and therefore only unsupervised methods can be performed. In this paper a novel query strategy framework is presented for this problem, called Clustering Based Balanced Sampling Framework (CBBSF), which is not only select the initial labeled training dataset, but uniformly selects the items among the categories to get a balanced labeled training dataset. The framework includes an assignment technique to implicitly determine the class membership probabilities. Assignment solution is updated during CBBSF iterations, hence it simulates supervised machine learning more accurately as the process progresses. The proposed Spectral Clustering Based Sampling (SCBS) query startegy realizes the CBBSF framework, and therefore it is applicable in the special zero initialized situation. This selection approach uses ClusterGAN (Clustering using Generative Adversarial Networks) integrated in the spectral clustering algorithm and then it selects an unlabeled instance depending on the class membership probabilities. Global and local versions of SCBS were developed, furthermore, most confident and minimal entropy measures were calculated, thus four different SCBS variants were examined in total. Experimental evaluation was conducted on the MNIST dataset, and the results showed that SCBS outperforms the state-of-the-art zero initialized active learning query strategies.
监督式机器学习任务通常需要大量标记的训练数据来建立模型,然后根据该模型进行预测(例如分类)。如今,在网络上或数据仓库中有大量的数据,尽管这些数据中只有一部分被注释了,而且标记过程可能是乏味、昂贵和耗时的。主动学习试图克服这个问题,通过允许学习系统迭代地选择学习的数据来减少标记成本。在主动学习的特殊情况下,该过程从零初始化场景开始,其中标记的训练数据集是空的,因此只能执行无监督方法。针对这一问题,本文提出了一种新的查询策略框架——基于聚类的平衡采样框架(CBBSF),该框架不仅选择初始标记训练数据集,而且在分类中统一选择项目,从而得到一个平衡标记训练数据集。该框架包括一种赋值技术来隐式地确定类隶属概率。分配解决方案在CBBSF迭代期间更新,因此随着过程的进行,它更准确地模拟了监督机器学习。提出的基于谱聚类采样(SCBS)查询策略实现了CBBSF框架,因此适用于特殊的零初始化情况。该方法将ClusterGAN (Clustering using Generative Adversarial Networks)集成到谱聚类算法中,然后根据类隶属度概率选择一个未标记的实例。开发了SCBS的全球和本地版本,此外,计算了最自信和最小熵度量,从而总共检查了四种不同的SCBS变体。在MNIST数据集上进行了实验评估,结果表明SCBS优于最先进的零初始化主动学习查询策略。
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Acta Cybern.
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