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2011 19th Mediterranean Conference on Control & Automation (MED)最新文献

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Review on single track vehicle and motorcycle simulators 单轨车辆和摩托车模拟器综述
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983083
L. Nehaoua, Hichem Arioui, S. Mammar
In this paper, we present a review of the existent two-wheeled vehicle simulators. A description of a motorcycle simulator, designed at INRETS-IBISC laboratory is given. Mechatronics aspects and the various consideration to built such a simulation tool will be discussed.
本文对现有的两轮车辆模拟器进行了综述。介绍了在INRETS-IBISC实验室设计的摩托车模拟器。机电一体化方面和各种考虑建立这样一个仿真工具将被讨论。
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引用次数: 20
Batch identification of neuromuscular blockade models 神经肌肉阻断模型的批量鉴定
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983206
J. M. Lemos, João Gomes, B. Costa, T. Mendonça, A. Coito
This work addresses the problem of identifying neuromuscular blockade models of patients undergoing general surgery. First, a sensitivity analysis is made, exploring the Wiener structure of the system. The outcomes of this analysis are twofold: First, it provides information about the time periods in which data is more informative for parameter estimation. Second, it is the basis of a local identifiability analysis that allows to decide which parameters are to be estimated from data and which are the ones whose values should be a priori selected based on previous insight. The time dependency of sensitivity is then used to adjust the weight of output errors in a Bayesian cost function whose minimization yields parameter estimates: Whenever the sensitivity is low, the weight is reduced. The contribution of the paper consists in the demonstration of this procedure using actual clinical data.
这项工作解决了识别接受普通外科手术的患者的神经肌肉阻断模型的问题。首先进行了灵敏度分析,探讨了系统的维纳结构。这种分析的结果是双重的:首先,它提供了关于时间段的信息,其中的数据对参数估计更有帮助。其次,它是局部可识别性分析的基础,该分析允许决定从数据中估计哪些参数,哪些参数的值应该根据先前的见解先验地选择。然后使用灵敏度的时间依赖性来调整贝叶斯成本函数中输出错误的权重,该函数的最小化产生参数估计:每当灵敏度较低时,权重就会减小。本文的贡献在于用实际临床数据演示了这一过程。
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引用次数: 3
Clock synchronization using maximal margin estimation 时钟同步使用最大边际估计
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983128
Dani E. Pinkovich, N. Shimkin
Clock synchronization in a network is a crucial problem due to the wide use of networks with simple nodes, such as the internet, wireless sensor networks and Ad Hoc networks. We present novel algorithms for synchronization of pairs of clocks based on Maximum Margin Estimation of the offset and skew between pairs of clocks. Our algorithms are inspired by the well known Support Vector Machines algorithm from the Machine Learning literature and have sound geometrical intuition for our model. In addition, we provide a modification to our algorithms (also relevant for the existing LP algorithm) to enhance their robustness to measurement outliers. Finally, we analytically derive the Mean Square Error for the estimation of offset, in the special case when the skew is given. Simulation experiments demonstrate that our algorithms have significantly better performance than state of the art synchronization algorithms.
由于广泛使用具有简单节点的网络,如互联网、无线传感器网络和Ad Hoc网络,网络中的时钟同步是一个关键问题。我们提出了一种基于时钟对之间偏移和倾斜的最大裕度估计的时钟对同步算法。我们的算法受到机器学习文献中著名的支持向量机算法的启发,并且对我们的模型具有良好的几何直觉。此外,我们对我们的算法(也与现有的LP算法相关)进行了修改,以增强其对测量异常值的鲁棒性。最后,在给定偏度的特殊情况下,我们解析地导出了估计偏移量的均方误差。仿真实验表明,我们的算法具有明显优于当前同步算法的性能。
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引用次数: 0
Automatic loop shaping of QFT applied to an active control design 将QFT的自动回路整形应用于主动控制设计
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983170
R. Comasolivas, T. Escobet, J. Quevedo
This paper presents a methodology to design automatically a QFT (Quantitative Feedback Theory) robust controller for plants with model uncertainty. The method proposed has as objective to find a QFT robust controller that fulfills the control specifications for the whole set of plant models, without including parameter controller restrictions. The methodology is based on a global optimization and has been solved using a global mixed-integer nonlinear programming. The design of an active control for vibration attenuation in optical interferometers is used to validate the technique.
提出了一种自动设计具有模型不确定性对象的QFT(定量反馈理论)鲁棒控制器的方法。该方法的目标是找到一个QFT鲁棒控制器,该控制器在不包含参数控制器限制的情况下满足整组对象模型的控制规范。该方法基于全局优化,采用全局混合整数非线性规划方法求解。设计了一种用于光学干涉仪振动衰减的主动控制方法来验证该技术。
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引用次数: 6
A collaborative approach to autonomous single intersection control 自主单交叉口控制的协同方法
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983112
M. Hulea, S. Folea, T. Letia, G. Mois
The evolution of mobile communication devices and communication technologies has fostered a growing interest in location-aware systems and services. One of the key features of these new emerging technologies is collaborative driving as a subcomponent of Intelligent Transportation Systems (ITS). The paper proposes a system for controlling the traffic in an intersection using a collaborative technique. Each vehicle is equipped with Wi-Fi and a data acquisition (DAQ) system. The vehicle localization problem is solved using a triangulation algorithm and the received signal strength indicator (RSSI). The crossroad is modeled as a wireless sensor network with one coordinator node and three access points which will allow the vehicle to communicate with the infrastructure nodes and to compute its location. The paper also proposes a solution for device installation on vehicles for allowing them to act as active participants in the collaborative system.
移动通信设备和通信技术的发展促进了对位置感知系统和服务的日益增长的兴趣。这些新兴技术的关键特征之一是作为智能交通系统(ITS)子组件的协同驾驶。提出了一种基于协同技术的交叉口交通控制系统。每辆车都配备了Wi-Fi和数据采集(DAQ)系统。采用三角定位算法和接收信号强度指示器(RSSI)解决了车辆定位问题。十字路口被建模为具有一个协调节点和三个接入点的无线传感器网络,这将允许车辆与基础设施节点通信并计算其位置。本文还提出了一个在车辆上安装设备的解决方案,使车辆能够作为协作系统的积极参与者。
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引用次数: 5
Precise hybrid motion detection and tracking in dynamic background 动态背景下精确的混合运动检测与跟踪
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5982991
A. Fakharian, Saman Hosseini, T. Gustafsson
This paper presents a novel and robust algorithm, for multiple motion detection and tracking in dynamic and complex scenes. The algorithm consists of two steps: at first, we use a robust algorithm for human detection. Then, Gaussian mixture model (GMM), Neighborhood-based difference and Overlapping-based classification are applied to improve human detection performance. The conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. We combine three above mentioned methods to obtain detection. The second step of the proposed algorithm is object tracking framework based on Kalman filtering which works well in dynamic scenes. Experimental results show the high performance of the proposed method for multiple object tracking in complex and noisy backgrounds.
针对动态复杂场景下的多运动检测与跟踪,提出了一种新颖的鲁棒算法。该算法包括两个步骤:首先,我们使用鲁棒算法对人体进行检测。然后,采用高斯混合模型(GMM)、基于邻域的差分和基于重叠的分类来提高人的检测性能。传统的混合高斯方法在复杂背景下存在运动检测错误和收敛速度慢的问题。我们将上述三种方法结合起来进行检测。该算法的第二步是基于卡尔曼滤波的目标跟踪框架,该框架在动态场景中效果良好。实验结果表明,该方法对复杂背景和噪声背景下的多目标跟踪具有良好的性能。
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引用次数: 3
Observer-based control strategies for compensation of dynamic friction 基于观测器的动态摩擦补偿控制策略
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983044
M. Ruderman, T. Bertram
This paper describes and compares different observer-based control strategies for compensating the dynamic friction in controlled motion systems. The once identified system with friction requires usually an observer due to unknown disturbances and time variant friction behavior. The recently developed two-state dynamic friction model with elasto-plasticity is applied within three different types of observer, all involved in the control loop. Each of the observer-based compensation schemes as well as the friction model in feed-forwarding augments a standard linear feedback velocity control which serves for evaluation as the reference one. The performance of the realized control approaches is evaluated on an ordinary electro-mechanical actuator system with multiple coupled sources of friction without its direct measurement.
本文描述并比较了不同的基于观测器的控制策略来补偿受控运动系统中的动态摩擦。由于未知的干扰和时变的摩擦行为,一旦确定了具有摩擦的系统,通常需要一个观测器。将新近建立的具有弹塑性的两态动态摩擦模型应用于三种不同类型的观测器,这些观测器都参与了控制回路。每一种基于观测器的补偿方案以及前馈中的摩擦模型都增加了一个标准的线性反馈速度控制,作为评价的参考。在没有直接测量的情况下,对具有多个耦合摩擦源的普通机电作动器系统进行了性能评价。
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引用次数: 7
Tangent graph based navigation of a non-holonomic mobile robot in cluttered environments 基于切线图的非完整移动机器人在混乱环境中的导航
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983068
A. Savkin, Michael Hoy
We determine the optimal (shortest) path on a unicycle-like mobile robot in a known environment with smooth (possibly non-convex) obstacles with a constraint on curvature of their boundaries. Furthermore, we propose a new reactive randomized algorithm of robot navigation in unknown environment and prove that the robot will avoid collisions and reach a steady target with probability 1. The performance of our algorithm is confirmed by computer simulations and outdoor experiments with a Pioneer P3-DX mobile wheeled robot.
我们确定了在已知环境中具有光滑(可能是非凸)障碍物的单轮车移动机器人的最优(最短)路径,并对其边界的曲率进行了约束。在此基础上,提出了一种新的未知环境下机器人导航的反应性随机化算法,并证明了机器人能以1的概率避免碰撞并到达稳定目标。通过计算机仿真和先锋P3-DX移动轮式机器人的室外实验,验证了算法的有效性。
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引用次数: 1
Building simulation/emulation environments for home automation systems 用于家庭自动化系统的建筑仿真/仿真环境
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983093
G. Conte, D. Scaradozzi, R. Donnini, A. Pedale
The growing interest for developing intelligent and user-friendly systems that take care of various tasks in home management has forested, in the last years, the study of architectures and behavioral strategies for home automation systems. From a theoretical point of view, home automation systems present great complexity, due to their hybrid, distributed and heterogeneous structure, which makes the problem of allocating limited resources - like electricity, gas and water - very difficult. In this paper, we propose a general methodology for modeling, in a Multi Agent System fashion, home automation systems and for constructing an efficient simulation/emulation environment. Our approach employ an UML point of view for constructing models of individual appliances and domotic devices, called agents, whose structure replicates the coupling between real appliances and real actuated/monitored plugs. Generic models consist of a switched dynamics governed by a Petri net, which provides the interface between agents and with the environment. Glowing together, in a suitable way, the Petri net components of agents sharing a common resource, it is possible to define the structure of an overall system that describes concurrent use of that resource. In order to cope with constrains and limitation of resources, the overall system can be endowed with a suitable controller, giving rise to what we call an Home Automation System. Thank to their structures, abstract models and real appliances can be combined into emulation environment where the performances of controllers and related control strategies can be easily investigated. Our approach provide therefore a general methodology for supporting design and validation of control strategies for home automation systems.
在过去的几年里,人们对开发智能和用户友好的系统来处理家庭管理中的各种任务越来越感兴趣,这促进了对家庭自动化系统的架构和行为策略的研究。从理论的角度来看,家庭自动化系统由于其混合、分布式和异构结构而呈现出极大的复杂性,这使得分配有限资源(如电、气和水)的问题非常困难。在本文中,我们提出了一种通用的建模方法,以多智能体系统的方式,家庭自动化系统和构建一个有效的仿真/仿真环境。我们的方法采用UML观点来构建单个设备和专用设备的模型,称为代理,其结构复制了实际设备和实际驱动/监视插头之间的耦合。通用模型由一个由Petri网控制的切换动态组成,它提供了代理之间和与环境之间的接口。以适当的方式将共享公共资源的代理的Petri网组件结合在一起,就有可能定义描述该资源并发使用的整个系统的结构。为了应对资源的约束和限制,可以给整个系统赋予一个合适的控制器,这就是我们所说的家庭自动化系统。由于它们的结构,抽象模型和实际设备可以结合到仿真环境中,从而可以很容易地研究控制器的性能和相关的控制策略。因此,我们的方法为支持家庭自动化系统控制策略的设计和验证提供了一般方法。
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引用次数: 6
A health management framework for Environmental Control Systems 环境控制系统的健康管理框架
Pub Date : 2011-06-20 DOI: 10.1109/MED.2011.5983078
I. Raptis, G. Vachtsevanos
Maintenance of critical or/complex systems has recently moved from traditional preventive maintenance to Condition Based Maintenance (CBM) exploiting the advances both in hardware (sensors / DAQ cards, etc) and in software (sophisticated algorithms blending together the state of the art in signal processing and pattern analysis). Along this path, Environmental Control Systems and other critical systems/processes can be improved based on concepts of anomaly detection and fault diagnosis are presented in this paper. The enabling technologies borrow from the fields of modeling, data processing, Bayesian estimation theory and in particular a technique called particle filtering. The efficiency of the diagnostic approach is demonstrated via simulation results.
关键或/复杂系统的维护最近已经从传统的预防性维护转变为基于状态的维护(CBM),利用硬件(传感器/ DAQ卡等)和软件(复杂的算法将信号处理和模式分析中的最新技术融合在一起)的进步。在此基础上,本文提出了基于异常检测和故障诊断的概念来改进环境控制系统和其他关键系统/过程。实现技术借鉴了建模、数据处理、贝叶斯估计理论,特别是一种称为粒子滤波的技术。仿真结果验证了该诊断方法的有效性。
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引用次数: 1
期刊
2011 19th Mediterranean Conference on Control & Automation (MED)
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