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2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)最新文献

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Space-filling Optimization of Excitation Signals for Nonlinear System Identification 非线性系统辨识激励信号的空间填充优化
Volker Smits, O. Nelles
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引用次数: 1
A Novel Constrained Trajectory Planner for Safe Human-robot Collaboration 一种新的人机安全协作约束轨迹规划方法
Matteo Melchiorre, L. Scimmi, Stefano Mauro, S. Pastorelli
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引用次数: 2
Coupled PID-SDRE Controller of a Quadrotor: Positioning and Stabilization of UAV Flight 四旋翼飞行器PID-SDRE耦合控制器:无人机飞行定位与稳定
M. Chodnicki, Wojciech Stecz, Wojciech Giernacki, S. Stępień
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引用次数: 0
Web based User Interface Solution for Remote Robotic Control and Monitoring Autonomous System 基于Web的远程机器人控制与监控自主系统用户界面解决方案
Hugo Perier, E. Matheson, M. D. Castro
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引用次数: 0
Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System 激光跟踪系统正运动学标定提高工业机器人的位置精度
M. A. Khanesar, S. Piano, David T. Branson
: Precision positioning of industrial robots is a vital requirement on the factory floor. Robot end effector positioning using joint angle readings from joint encoders and industrial robot forward kinematics (FKs) is a common practice. However, mechanical wear, manufacturing and assembly tolerances, and errors in robot dimension measurement result in parameter uncertainties in the robot FK model. Uncertainties in robot FK result in inaccurate position measurement. In this paper, we use a multi-output least squares support vector regression (MLS-SVR) method to improve the positioning accuracies of industrial robots using a highly accurate laser tracker system, Leica AT960-MR. This equipment is a non-contact metrology one capable of performing measurements with error of less than 3(cid:2020)(cid:1865)/(cid:1865) . To perform this task, industrial robot FK is formulated as a regression problem whose unknown parameters are tuned using laser tracker position data as target values. MLS-SVR algorithm is used to estimate the industrial robot FK parameters. It is observed that using the proposed approach, the accuracy of industrial robot FKs in terms of mean absolute errors of static and near-static motion in all three dimensions decreases from its measured value: from 71.9(cid:2020)(cid:1865) to 20.9(cid:2020)(cid:1865) (71% decrease).
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引用次数: 1
Optimal Social Limitation Reduction under Vaccination and Booster Doses 在疫苗接种和加强剂量下减少最优社会限制
P. D. Giamberardino, D. Iacoviello
In the paper an optimal control solution is provided for the containment of the number of infected individuals in COVID-19 pandemic under vaccination campaign. The possibility to dynamically change the cost of the controls according to the ongoing evolution within the design procedure allows to get great efforts in presence of very serious disease conditions, saving resources otherwise. The different contribution of vaccinated and unvaccinated individuals to the epidemic spread is investigated, optimising the controls which describe the individual contact restrictions separately for the two classes and showing that it would have been possible to reduce all the social limitations introduced by many governments for the vaccinated individuals since the beginning of the vaccination campaign.
本文给出了在疫苗接种运动下控制COVID-19大流行感染人数的最优控制解。在设计过程中,根据持续的演变动态改变控制成本的可能性允许在非常严重的疾病条件下获得巨大的努力,否则节省资源。研究了接种疫苗和未接种疫苗的个体对流行病传播的不同贡献,优化了分别描述两类个体接触限制的控制措施,并表明,自疫苗接种运动开始以来,许多政府对接种疫苗的个体引入的所有社会限制都是有可能减少的。
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引用次数: 0
Optimal Prediction of Tessarine Signals from Multi-sensor Uncertain Observations under Tk-Properness Conditions Tk-Properness条件下多传感器不确定观测的Tessarine信号最优预测
J. Jiménez-López, R. M. Fernández-Alcalá, J. Navarro-Moreno, J. C. Ruiz-Molina
: In this paper, the optimal one-stage prediction problem of tessarine signals from multi-sensor uncertain observations is approached. At each instant of time, there exists a non-null probability that the observation tessarine component coming from each sensor, contains the corresponding signal component, or only noise. To model the uncertainty, multiplicative noises modeled by Bernoulli random variables are included in the observation equations. Under correlation hypotheses between the signal and observation additive noises, a recursive algorithm to calculate the optimal least-squares linear predictor of the signal and its mean-squared error is proposed, derived by using an innovation approach. The theoretical results are illustrated by means of a numerical simulation example, in which the performance of the proposed estimator is evaluated under different uncertainty probabilities.
本文研究了多传感器不确定观测信号的最优单阶段预测问题。在每个时刻,来自每个传感器的观测信号分量存在非零概率,要么包含相应的信号分量,要么只有噪声。为了模拟不确定性,在观测方程中加入了由伯努利随机变量建模的乘法噪声。在信号与观测值加性噪声相关的假设下,提出了一种计算信号及其均方误差的最优最小二乘线性预测器的递推算法。通过一个数值模拟实例对理论结果进行了验证,并对所提估计器在不同不确定概率下的性能进行了评价。
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引用次数: 0
Electric Power System Operation: A Technique to Modelling, Monitoring and Control via Petri Nets 电力系统运行:基于Petri网的建模、监测和控制技术
Milton Souza, E.A. Lima, J. Cerqueira
: P etri nets have been widely used as a tool to model, monitor and control several kind of systems. In this paper, P etri nets are used to model, monitor and control Electrical Power Systems (EPS). The electric power model will be expanded through a linear transformation. The restrictions imposed for that expansion specialize the new places with attributes that allow to monitor or control the dynamics of the original P etri net.
作为一种对多种系统进行建模、监测和控制的工具,神经网络已被广泛应用。本文将神经网络应用于电力系统(EPS)的建模、监测和控制。电力模型将通过线性变换进行扩展。为扩展而施加的限制专门针对具有允许监视或控制原始P - etri网络动态的属性的新场所。
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引用次数: 0
Design of a Switched Control Lyapunov Function for Mobile Robots Aggregation 移动机器人聚合的切换控制Lyapunov函数设计
Chrystian Edmundo Pool Yuca Huanca, G. P. Incremona, Roderich Groß, P. Colaneri
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引用次数: 1
Prospects for the Use of Unmanned Ground Vehicles in Artillery Survey 无人驾驶地面车辆在火炮测量中的应用前景
Jan Ivan, Michal Sustr, Ondrej Pekar, L. Potuzák
: The article deals with the currently realized research of a new survey vehicle of the Czech field artillery, which task will be support of the activity of autonomous and non-autonomous artillery weapon systems. The article describes the basic aspects of artillery survey together with the current progress of the project. Baseline for the article is description of current status of Czech artillery survey and the way it supports the artillery operations. The individual chapters then present the identified variants of the functionality of the gun navigation system and the resulting requirements for the capability of the unmanned artillery survey vehicle. Main focus of the article is to present specific approach which Czech armed forces have in terms of artillery use under degraded and GPS denied operations. All these proposals are presented according to current status of Czech artillery which transitions from non-autonomous 152mm howitzers to the new, NATO standard 155mm autonomous weapon systems.
本文论述了捷克野战炮兵目前正在进行的一种新型测量车的研究,该车辆的任务是支持自主和非自主火炮武器系统的活动。本文介绍了火炮测量的基本方面以及目前工程的进展情况。这篇文章的基础是对捷克炮兵测量现状的描述,以及它支持炮兵作战的方式。然后,各个章节介绍了火炮导航系统功能的识别变体以及对无人火炮测量车能力的最终要求。本文的主要重点是介绍捷克武装部队在退化和GPS被剥夺的行动下使用炮兵的具体做法。所有这些建议都是根据捷克炮兵从非自主的152毫米榴弹炮过渡到新的北约标准155毫米自主武器系统的现状提出的。
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引用次数: 1
期刊
2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)
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