Locally perceiving hard global constraints in multi-agent scheduling

We propose how to model enterprise facilities (like factories, warehouses, etc.) in a multi-product production/distribution network, capacity management at those facilities, and scheduling agents which act as enterprise managers, taking decisions that affect the available capacity. A coordination mechanism through which scheduling agents can locally perceive hard global temporal constraints is also proposed.     

A multi-agent intelligent system for efficient ERP maintenance

The Enterprise Resource Planning (ERP) system is an enterprise-wide integrated software package designed to uphold the highest quality standards of business process. However, for the time being, when the business condition has been changed, the system may not guarantee that the process embedded in ERP is still best. Moreover, since the ERP system is very complex, maintaining the system by trial and error is very costly. Hence, this paper aims to construct a support system that adjusts ERP system to environmental changes. To do so, we adopt multi-agent intelligent technology that enables autonomous cooperation with one another to monitor ERP databases and to find any exceptional changes and then analyze how the changes will affect ERP performance. Moreover, Petri net is applied to manage the complexity and dynamics of agents’ behavior. To show the feasibility of the idea, a prototype agent system, ERP/PN, is proposed and an experiment is conducted.     

超立方体网络中任务调度的一个新近似算法

本文研究超立方体中的多处理器任务调度问题,我们研究LDLPT算法并指出为什么这种算法对一些实例具有最差的逼近度,然后提出一种类似装箱算法的新算法-BPA算法,证明该算法和LDLPT算法在相互最差逼近度中具有互补性质,最后,组合这两种算法的基本方法提出了一种求解问题的新算法-CBPA算法,并证明新算法具有比LDLPT算法更好的逼近度。     

一种基于多代理技术实现的虚拟企业中的敏捷调度

提出了一种用多代理技术和基于协商的策略解决虚拟企业调度冲突的方法。首先介绍了虚拟企业中敏捷调度的特性及调度冲突的产生,分类及解决方法,并描述了调度、计划、协商、监督执行之间的互操作,通过代理的智能,自治等特性可以较好地实现调度的敏捷性,最后给出了在一个面向虚拟企业的信息集成系统ViaSopc中基于多代理技术实现的基于协商的敏捷调度模型。     

最短响应时间优先请求分配算法的研究

分析了在分布式高性能防火墙中两种常用的请求分配算法,在此基础上提出了最短响应时间优先调度算法。仿真表明,该算法具有很好的调度效果和很高的稳定性。     

基于PI控制律的通用递阶模糊控制器

为解决常规模糊控制器存在的通用性和工程简便性问题,针对动态特性随操作条件变化对象建立自适应递阶模糊控制器,实现闭环模糊增益调度,并引入稳定监督控制使控制系统具有工程稳定性。     

转炉炼钢智能动态终点控制

针对转炉炼钢过程复杂,影响终点因素多,而且难以进行连续准确针测量,提出了基于副枪检测信息的智能动态终点控制方法。采用灰色模型并通过神经网络进行补偿对转炉炼钢终点温度和碳含量进行预报,在此基础上,以RBF神经网络作为预设定模型,通过模糊调整确定补吹阶段需要的氧气量和加入的冷却剂量,并对一座180吨转炉进行仿真计算,结果表明了该方法的有效性。     

基于资源约束的并行活动优化调度方法

针对并行产品开发过程,提出了一种基资源约束的优化调度算法,首先给出了并行活动的三个定义,提出了一个使算法能够实现优化调度的综合函数,并研究了并行工程中的两个关键问题－－角色分配和反馈修改,仿真实例表明了算法的可行性。     

Real-time scheduling for energy harvesting sensor nodes

Energy harvesting has recently emerged as a feasible option to increase the operating time of sensor networks. If each node of the network, however, is powered by a fluctuating energy source, common power management solutions have to be reconceived. This holds in particular if real-time responsiveness of a given application has to be guaranteed. Task scheduling at the single nodes should account for the properties of the energy source, capacity of the energy storage as well as deadlines of the single tasks. We show that conventional scheduling algorithms (like e.g. EDF) are not suitable for this scenario. Based on this motivation, we have constructed optimal scheduling algorithms that jointly handle constraints from both energy and time domain. Further we present an admittance test that decides for arbitrary task sets, whether they can be scheduled without deadline violations. To this end, we introduce the concept of energy variability characterization curves (EVCC) which nicely captures the dynamics of various energy sources. Simulation results show that our algorithms allow significant reductions of the battery size compared to Earliest Deadline First scheduling.

用Ethernet＋TCP／IP构建现场实时通信网络平台

分析了Ethernet和TCP／IP技术给现场实时通信网络带来的影响,介绍了具有Ethernet网络接口和TCP／IP协议功能的现场智能设备的硬件组成、通令协议层次模型、协议构成和协议数据格式,描述了现场智能设备中发送和接收数据的实现过程。