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1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)最新文献

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Guaranteeing DCCS timing requirements using P-NET fieldbus networks 使用P-NET现场总线网络保证DCCS时间要求
E. Tovar, F. Vasques, A. Cardoso
In this paper, we analyse the ability of the P-NET fieldbus network to cope with the timing requirements of a Distributed Computer Control System (DCCS), where messages associated to discrete events should be made available to a distributed application within a maximum bound time. The major contribution of this paper is the integration of a pre-run-time schedulability analysis of the P-NET protocol with the typical Distributed Computer Controlled System requirement. A case study of a petrochemical DCCS application and its message communication support is presented stressing some of the timing requirements that must be satisfied by the message exchanges. An implementation supported by a P-NET fieldbus network is then analysed and some conclusions are drawn about this example.
在本文中,我们分析了P-NET现场总线网络应对分布式计算机控制系统(DCCS)的时序要求的能力,在DCCS中,与离散事件相关的消息应在最大限定时间内提供给分布式应用程序。本文的主要贡献是将P-NET协议的预运行时可调度性分析与典型的分布式计算机控制系统需求集成在一起。以石化DCCS应用及其消息通信支持为例,着重介绍了消息交换必须满足的一些时序要求。然后分析了P-NET现场总线网络支持下的一个实现,并得出了一些结论。
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引用次数: 2
Human supervision in industrial process 工业过程中的人的监督
P. Ponsa, A. Català
A methodology for analysis of human supervision in industrials processes is presented. The main issue is the modelling and creation of guide lines for human behaviour, through the study of different decision sequences in front of several dynamic processes. Processes are developed with a software generator of dynamic systems, for carrying out tests and data extraction. On the other hand, since industrial programmable logic controllers are very common, this study is complemented with the development of an artificial agent based on sequential control with the final objective of the comparison between the agent and the human behaviour in order to obtain a classification of different conducts.
提出了一种分析工业过程中人的监督的方法。主要问题是建模和创建人类行为的指导方针,通过研究不同的决策序列在几个动态过程。过程是用动态系统的软件生成器开发的,用于进行测试和数据提取。另一方面,由于工业可编程逻辑控制器非常普遍,因此本研究补充了基于顺序控制的人工智能体的开发,其最终目标是将智能体与人类行为进行比较,以获得不同行为的分类。
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引用次数: 6
Performance evaluation of four field buses 四辆现场总线的性能评价
M. Rubio Benito, J. Fuertes, E. Kahoraho, N. Perez Arzoz
In this article, a comparative study of the performance of the CAN, the Profibus-DP, the Profibus-FMS and the Modbus Plus field buses is carried out. An analytical approach is adopted to evaluate the performance of the networks in an event-driven system in terms of throughput and responsiveness. Cyclic data exchanges are analysed in a deterministic way in terms of the bandwidth consumed. Finally, we focus on the behaviour of systems with both cyclic and acyclic interchanges. As long as it is critical to ensure the bandwidth assigned to cyclic traffic, we analyse the effect that the bandwidth consumed by the cyclic traffic has on the throughput and responsiveness obtained when only acyclic traffic is considered.
本文对CAN、Profibus-DP、Profibus-FMS和Modbus Plus现场总线的性能进行了比较研究。采用一种分析方法来评估事件驱动系统中网络在吞吐量和响应性方面的性能。根据所消耗的带宽,以确定性的方式分析循环数据交换。最后,我们重点讨论了有环交换和无环交换的系统的行为。只要确保分配给循环业务的带宽是至关重要的,我们就分析了当只考虑非循环业务时,循环业务所消耗的带宽对吞吐量和响应性的影响。
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引用次数: 19
General predictor in the algebra of dioids 二元代数中的一般预测器
P. Declerck, R. Guihur
Discrete event systems undergo perturbations that disrupt the control system and reduce the capacities of anticipation of the future evolution of the process. In the (max, +) algebra, processes modelled by a timed event graph may be represented by a linear model. The knowledge of the model and of the initial conditions enable us to characterise the state vector with a state equation iteration but the perturbations can generate a misappreciation of the state vector. The aim of the paper is to predict the output trajectory and to make temporal control synthesis when the state vector is unknown.
离散事件系统受到扰动,破坏控制系统,降低对过程未来演变的预测能力。在(max, +)代数中,由时间事件图建模的过程可以用线性模型表示。对模型和初始条件的了解使我们能够用状态方程迭代来表征状态向量,但扰动会产生对状态向量的误读。本文的目的是在状态向量未知的情况下预测输出轨迹并进行时间控制综合。
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引用次数: 0
Reactive with tags classifier system applied to real robot navigation 反应式标签分类系统在真实机器人导航中的应用
A. Sanchis, J. M. Molina, P. Isasi, J. Segovia
A reactive with tags classifier system (RTCS) is a special classifier system. This system combines the execution capabilities of symbolic systems and the learning capabilities of genetic algorithms. A RTCS is able to learn symbolic rules that allow to generate sequence of actions, chaining rules among different time instants, and react to new environmental situations, considering the last environmental situation to take a decision. The capacity of RTCS to learn good rules has been prove in robotics navigation problem. Results show the suitability of this approximation to the navigation problem and the coherence of extracted rules.
带有标签的反应性分类系统是一种特殊的分类系统。该系统结合了符号系统的执行能力和遗传算法的学习能力。RTCS能够学习允许生成动作序列的符号规则,在不同的时间瞬间之间链接规则,并对新的环境情况做出反应,考虑最后的环境情况做出决定。RTCS学习良好规则的能力已经在机器人导航问题中得到了证明。结果表明,该近似方法对导航问题的适用性和提取规则的一致性。
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引用次数: 0
A knowledge-based tool for the automated synthesis of Petri nets for manufacturing systems 一个基于知识的工具,用于制造系统中Petri网的自动合成
L. Castillo, J. Fdez-Olivares, A. González
The design process of control programs that drive the operation of new generation manufacturing systems has to respond quickly to the changes of a evolutionary market. The improvement towards a completely automated design process is actually arising from the field of artificial intelligence. This work presents an application of artificial intelligence planning techniques for the automatic generation of control programs for a manufacturing system expressed as safe and live Petri nets. This system allows for a fast generation of sound results, reducing the cost and duration of the design and development phase of control programs.
驱动新一代制造系统运行的控制程序的设计过程必须快速响应不断发展的市场变化。向完全自动化设计过程的改进实际上是由人工智能领域产生的。这项工作提出了人工智能规划技术的应用,用于自动生成制造系统的控制程序,表示为安全和活的Petri网。该系统可以快速生成声音结果,减少控制程序设计和开发阶段的成本和持续时间。
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引用次数: 2
A heuristic approach to parallel machine scheduling with earliness and tardiness penalties 具有早、迟处罚的并行机器调度的启发式方法
H. Tamaki, T. Komori, S. Abe
Identical parallel machine scheduling problems with earliness and tardiness penalties are studied. First, a hybrid method adopting the meta-heuristics and the list scheduling techniques is proposed, where a heuristic procedure MPA (Minimum Penalty increase Assignment) is newly introduced. Then, through several computational experiments, the effectiveness of the proposed method is shown.
研究了具有提前惩罚和延迟惩罚的同一并行机器调度问题。首先,提出了一种采用元启发式方法和列表调度技术的混合调度方法,其中引入了启发式方法MPA (Minimum Penalty increase Assignment)。然后,通过若干计算实验,验证了该方法的有效性。
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引用次数: 13
Cycle time computation in deterministically timed weighted marked graphs 确定时间加权标记图的周期时间计算
M. Nakamura, M. Silva
This paper considers the minimum cycle time (MCT) computation in deterministically timed weighted marked graphs (WMGs) under infinite server semantics. A transformation from a live and bounded WMG system into a live and bounded MG system is proposed in which the untimed behavior (represented by the Petri net language) and the minimum cycle time are preserved. By applying the well known LPP to the transformed MG system, the MCT can be computed exactly. The computational complexity of our approach is polynomial with respect to |X|, the size of the elementary T-semiflow of the original WMG.
研究了无限服务器语义下确定性定时加权标记图的最小周期时间计算问题。提出了一种由活的有界WMG系统转换为活的有界WMG系统的方法,该方法保留了非定时行为(用Petri网语言表示)和最小周期时间。将已知的LPP应用于变换后的MG系统,可以精确地计算出MCT。我们的方法的计算复杂度是关于原始WMG的基本t -半流的大小X的多项式。
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引用次数: 34
Reinforcement learning and automatic categorization 强化学习和自动分类
J. M. Porta, E. Celaya
The categorization process defines sensor and action categories from elementary sensor readings and basic actions so that the necessary elements for solving a task are correctly perceived and manipulated. In reinforcement learning, a previous categorization process is needed to define sensor and action categories with special requirements that we analyze and that, in general, are difficult to achieve, especially in complex tasks such as those that arise when working with autonomous robots. We show how these special requirements should be relaxed and we sketch a reinforcement learning algorithm that uses a less restrictive form of sensory categorization than existing algorithms. Additionally, we show how a given sensory categorization can be improved so that it better fits the demands of the previous algorithm.
分类过程根据基本传感器读数和基本动作定义传感器和动作类别,以便正确地感知和操作解决任务所需的元素。在强化学习中,需要先前的分类过程来定义具有我们分析的特殊要求的传感器和动作类别,并且通常难以实现,特别是在复杂的任务中,例如与自主机器人一起工作时出现的任务。我们展示了这些特殊要求应该如何放松,并概述了一种强化学习算法,该算法使用比现有算法限制更少的感官分类形式。此外,我们展示了如何改进给定的感官分类,使其更好地符合先前算法的要求。
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引用次数: 1
Decision systems simulation 决策系统仿真
R. Poler, F. Lario, J. Garcia
A proposal to achieve a dynamic analysis of decision systems in enterprises is presented. Starting from the Decision System GRAI modeling (G. Doumeingts, 1984), the consideration of the use of the human resources in decision making and the characterization of the decision system by means of parameters of quality is proposed. The objective of the Dynamic GRAI Model is its simulation for the analysis of the dynamic behavior of the system regarding its temporary parameters (horizons and periods of planning) and the pursuit of the evolution of the total quality of the decision system. An information system for the storage of the necessary information (DGRAIS) and a simulator (DGRAISIM) are presented, unified in a re-design tool (DGRAI).
提出了一种实现企业决策系统动态分析的方法。从决策系统GRAI建模(G. Doumeingts, 1984)开始,提出了在决策过程中考虑人力资源的使用,并通过质量参数对决策系统进行表征。动态GRAI模型的目标是模拟分析系统关于其临时参数(规划的范围和周期)的动态行为,并追求决策系统总体质量的演变。提出了一个用于存储必要信息的信息系统(DGRAIS)和一个模拟器(DGRAISIM),并将其统一在一个重新设计工具(DGRAI)中。
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引用次数: 4
期刊
1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)
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