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Robust control of complex dynamic units with interval parameters 具有区间参数的复杂动态单元鲁棒控制
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632047
S. A. Gayvoronsky, T. Ezangina
In this paper the research of the interval system containing a linear controller and a control unit with interval- undetermined parameters is conducted. Using the coefficient estimations of quality coefficient of the system, the methods of analysis and synthesis of robust quality parameters of a robust controller ensuring maximum stability degree by the oscillation and control accuracy limits is developed. Sufficient conditions uniting the interval coefficients of the characteristic polynomial of a closed-loop system and analyzing robust quality coefficients serve as the basis for the methodology. These conditions are based on the proven statements. An example of the analysis and synthesis of the system stabilization of an underwater object location is given in this paper.
本文对包含线性控制器和区间待定参数控制单元的区间系统进行了研究。利用系统质量系数的系数估计,提出了鲁棒控制器的鲁棒质量参数的分析和综合方法,通过振动和控制精度极限来保证鲁棒控制器的最大稳定度。统一闭环系统特征多项式区间系数的充分条件和鲁棒质量系数的分析是该方法的基础。这些条件是基于已证实的陈述。本文给出了一个水下目标定位系统稳定分析与综合的实例。
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引用次数: 9
Decentralized modeling of road traffic 道路交通的分散建模
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632057
C. Dimon, G. Dauphin-Tanguy
Road traffic is considered as a complex system organized in a decentralized structure composed of three levels. At the highest level of complexity we have a traffic region, considered as a part of a city's road infrastructure. At the next level, the region is decomposed into traffic objects represented by road sections and intersections. At the last level of complexity we have the road segments that are parts of a road section. The traffic is considered in a macroscopic representation and the modeling for the different components of the road region is achieved by employing techniques from fluid mechanics. The results are verified in simulation, based on traffic data.
道路交通被认为是一个由三个层次组成的分散结构的复杂系统。在复杂程度最高的情况下,我们有一个交通区域,被认为是城市道路基础设施的一部分。在下一层,该区域被分解为由路段和交叉路口表示的交通对象。在复杂性的最后一层,我们有作为路段组成部分的路段。交通被认为是一个宏观的表示和建模的不同组成部分的道路区域是由流体力学技术实现。基于交通数据的仿真验证了结果。
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引用次数: 0
A tracking error model for the bi-steerable car 双导向小车的跟踪误差模型
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632058
S. A. Tchenderli-Braham, F. Hamerlain
In this paper we propose to develop a new tracking error model for a wheeled mobile robot (WMR) car in a double steering mode (bi-steerable car Bis-Car) by using an appropriate diffeomorfism (variable change) offering an easier error model to handle. This new model is dedicated for the trajectory tracking control tasks.
本文提出了一种新的轮式移动机器人(WMR)车在双转向模式下的跟踪误差模型,通过适当的差分(变量变化)来提供一个易于处理的误差模型。该模型专门用于轨迹跟踪控制任务。
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引用次数: 3
Modeling intelligent vehicle agent in virtual reality traffic simulation system 虚拟现实交通仿真系统中智能车辆代理的建模
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632060
Yue Yu, A. Kamel, Guanghong Gong
Microscopic behaviors in traffic are complex and the traffic information is heterogeneous. However, current research on virtual reality traffic simulation pays little attention on modeling microscopic behavior with the consideration of the human factor. An intelligent vehicle agent model is proposed to better understandings of human factor in virtual reality traffic simulation system. The intelligent vehicle agent is a comprehensive model of 3D virtual vehicle and combines perception, motion, internal properties and cognition modules. Then, car following behavior model is introduced in detail, which is an application case to explain the function of intelligent vehicle agent. Car following behavior of virtual vehicle is realized by the coordination mechanism of agent-based multi-controller, which is determined by predetermined perceptual threshold levels. The preliminary results show the effectiveness of our method to establish the intelligent vehicle agent model and to simulate car following behaviors in virtual reality traffic simulation system.
交通微观行为是复杂的,交通信息是异构的。然而,目前的虚拟现实交通仿真研究很少关注考虑人为因素的微观行为建模。为了更好地理解虚拟现实交通仿真系统中的人为因素,提出了一种智能车辆代理模型。智能车辆代理是三维虚拟车辆的综合模型,集感知、运动、内部属性和认知等模块于一体。然后,详细介绍了汽车跟随行为模型,该模型是解释智能车辆代理功能的一个应用案例。虚拟车辆的跟车行为是通过基于智能体的多控制器协调机制实现的,该协调机制由预先确定的感知阈值水平决定。初步结果表明,该方法在虚拟现实交通仿真系统中建立智能车辆代理模型和模拟车辆跟随行为方面是有效的。
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引用次数: 14
Observer-based multi-actuator vehicle chassis control in critical situations 基于观测器的多致动器车辆底盘紧急控制
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632040
H. Dahmani, O. Pagès, A. Hajjaj, D. Popescu
This paper describes an observer-based control of the vehicle dynamics using a four-wheel active steering system as well as an active suspension system. The objectives of the proposed controller are to improve the vehicle behaviour by forcing the lateral dynamics and the load transfer ration (LTR) to track reference trajectories in critical situations. The Takagi-Sugeno (TS) representation has been used in order to take into account the non-linearities of the lateral forces. Based on the obtained fuzzy model, a TS observer has been designed with unmeasurable premise variables in order to consider the unavailability of the sideslip and the roll angle measurement. The observer and controller design has been formulated in terms of Linear Matrix Inequality (LMI) constraints using H∞ approach.
本文描述了一种基于观测器的车辆动力学控制,采用四轮主动转向系统和主动悬架系统。所提出的控制器的目标是通过强制横向动力学和负载转移比(LTR)在关键情况下跟踪参考轨迹来改善车辆行为。为了考虑侧向力的非线性,使用了Takagi-Sugeno (TS)表示。在得到的模糊模型的基础上,考虑到侧滑和横摇角的不可测性,设计了一个具有不可测前提变量的TS观测器。观测器和控制器的设计采用H∞方法在线性矩阵不等式(LMI)约束下进行。
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引用次数: 0
Numerics for hyperbolic partial differential equations (PDE) via Cellular Neural Networks (CNN) 双曲型偏微分方程(PDE)的细胞神经网络数值解
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632044
D. Danciu
The paper proposes an Artificial Intelligence approach for computing an approximate solution for a hyperbolic partial differential equation (PDE) modeling the vibration of a drilling plant. The basic idea relies on using the repetitive structure induced by the Method of Lines for assigning a Cellular Neural Network (CNN) to perform the numerics. The method ensures from the beginning the convergence of the approximation and preserves the stability of the initial problem.
本文提出了一种人工智能方法来计算模拟钻井设备振动的双曲型偏微分方程的近似解。基本思想依赖于使用由线法引起的重复结构来分配细胞神经网络(CNN)来执行数字。该方法从一开始就保证了逼近的收敛性,并保持了初始问题的稳定性。
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引用次数: 13
A comparison of named entity recognition tools applied to biographical texts 应用于传记文本的命名实体识别工具的比较
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632052
Samet Atdag, Vincent Labatut
Named entity recognition (NER) is a popular domain of natural language processing. For this reason, many tools exist to perform this task. Amongst other points, they differ in the processing method they rely upon, the entity types they can detect, the nature of the text they can handle, and their input/output formats. This makes it difficult for a user to select an appropriate NER tool for a specific situation. In this article, we try to answer this question in the context of biographic texts. For this matter, we first constitute a new corpus by annotating 247 Wikipedia articles. We then select 4 publicly available, well known and free for research NER tools for comparison: Stanford NER, Illinois NET, OpenCalais NER WS and Alias-i LingPipe. We apply them to our corpus, assess their performances and compare them. When considering overall performances, a clear hierarchy emerges: Stanford has the best results, followed by LingPipe, Illionois and OpenCalais. However, a more detailed evaluation performed relatively to entity types and article categories highlights the fact their performances are diversely influenced by those factors. This complementarity opens an interesting perspective regarding the combination of these individual tools in order to improve performance.
命名实体识别(NER)是自然语言处理的一个热门领域。由于这个原因,存在许多工具来执行此任务。在其他方面,它们的不同之处在于所依赖的处理方法、可以检测的实体类型、可以处理的文本的性质以及输入/输出格式。这使得用户难以为特定情况选择合适的NER工具。在本文中,我们试图在传记文本的背景下回答这个问题。为此,我们首先通过注释247篇维基百科文章来构建一个新的语料库。然后,我们选择了4个公开可用的,众所周知的和免费的研究NER工具进行比较:Stanford NER, Illinois NET, OpenCalais NER WS和Alias-i LingPipe。我们将它们应用到我们的语料库中,评估它们的表现并进行比较。在考虑整体表现时,一个清晰的等级出现了:斯坦福大学的成绩最好,其次是LingPipe、伊利诺伊大学和OpenCalais。但是,对实体类型和文章类别进行的更详细的评估突出表明,它们的性能受到这些因素的不同影响。这种互补性为这些单独工具的组合提供了一个有趣的视角,以提高性能。
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引用次数: 59
The features-based evolution of the opinions in forums using a semantic summarization approach 利用语义摘要的方法对论坛上的观点进行基于特征的演化
Pub Date : 2013-08-01 DOI: 10.1109/IcConSCS.2013.6632051
Dumitru-Clementin Cercel, Stefan Trausan-Matu
The consumers do not often express their opinions on the entity itself, but about its features. Our overall goal is represented by the visualization of the evolution of opinions in a collection of forums data, which simplifies the graph with messages that contain opinions. In the final graph, each node resulted from the aggregation of the opinions with the same polarity from the neighboring nodes contains the opinion polarity and words that give the respective polarity. For this purpose, in this paper we identify the features for a target entity, we search opinions about features and we analyze the opinion sentences. In the proposed solution, we adopt an approach to opinion summarization.
消费者通常不会对实体本身发表意见,而是对其特征发表意见。我们的总体目标是通过论坛数据集合中意见演变的可视化来表示,这简化了包含意见的消息的图形。在最终的图中,来自相邻节点的具有相同极性的意见聚合产生的每个节点包含意见极性和给出各自极性的单词。为此,本文对目标实体的特征进行识别,对特征进行意见搜索,并对意见句进行分析。在提出的解决方案中,我们采用了一种意见汇总的方法。
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引用次数: 0
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2nd International Conference on Systems and Computer Science
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