Discrete-time contraction constrained nonlinear model predictive control using graph-based geodesic computation

Modern chemical processes need to operate around time-varying operating conditions to optimize plant economy, in response to dynamic supply chains (e.g., time-varying specifications of product and energy costs). As such, the process control system needs to handle a wide range of operating conditions whilst optimizing system performance and ensuring stability during transitions. This article presents a reference-flexible nonlinear model predictive control approach using contraction based constraints. Firstly, a contraction condition that ensures convergence to any feasible state trajectories or setpoints is constructed. This condition is then imposed as a constraint on the optimization problem for model predictive control with a general (typically economic) cost function, utilizing Riemannian weighted graphs and shortest path techniques. The result is a reference flexible and fast optimal controller that can trade-off between the rate of target trajectory convergence and economic benefit (away from the desired process objective). The proposed approach is illustrated by a simulation study on a CSTR control problem.     

自适应属性选择的实体对齐方法

现有实体对齐方法普遍存在传统方法依赖外部信息和人工构建特征,而基于表示学习的方法忽略了知识图谱中的结构信息的问题。针对上述问题,提出自适应属性选择的实体对齐方法,融合实体的语义和结构信息训练基于两个图谱联合表示学习的实体对齐模型。提出使用基于自适应属性选择的属性强约束模型,根据数据集特征自动生成最优属性类型和权重约束,提升实体对齐效果。两个实际数据集上的试验表明,该方法与传统表示学习方法相比准确率最高提升了约11%。     

基于威胁的飞行器航迹辨识问题研究

由航迹规划系统通常可以得到一条或多条可飞航迹,为解决航迹规划中多航迹归类和评价问题,建立了一种基于威胁的航迹辨识模板,应用数学形态学图像处理膨胀运算和着色原理,提出了基于膨胀辨识和着色辨识两种策略对备选航迹进行辨识的方法,为任务规划人员提供决策依据。仿真结果表明,该方法可以回避复杂的建模和计算过程,易于实现,有一定的应用价值。     

Energiedissipation und Energieflüsse während des Tablettiervorganges

The tableting process causes a temperature increase due to dissipation of energy. Therefore, with time the temperature of the tablets and the tablet press increases. Depending on the calculated tablet temperature, this temperature increase is discussed for different compression forces and lubricant concentrations. Two different measurement techniques are presented and compared.     

Fast accessing Web3D contents using lightweight progressive meshes

Accessing Web3D contents is relatively slow through Internet under limited bandwidth. Preprocessing of 3D models can certainly alleviate the problem, such as 3D compression and progressive meshes (PM). But none of them considers the similarity between components of a 3D model, so that we could take advantage of this to further improve the efficiency. This paper proposes a similarity‐aware data reduction method together with PM, called lightweight progressive meshes (LPM). LPM aims to excavate similar components in a 3D model, generates PM representation of each component left after removing redundant components, and organizes all the processed data using a structure called lightweight scene graph. The proposed LPM possesses four significant advantages. First, it can minimize the file size of 3D model dramatically without almost any precision loss. Because of this, minimal data is delivered. Second, PM enables the delivery to be progressive, so called streaming. Third, when rendering at client side, due to lightweight scene graph, decompression is not necessary and instanced rendering is fully exerted. Fourth, it is extremely efficient and effective under very limited bandwidth, especially when delivering large 3D scenes. Performance on real data justifies the effectiveness of our LPM, which improves the state‐of‐the‐art in accessing Web3D contents. Copyright © 2015 John Wiley & Sons, Ltd.     

基于改进图卷积神经网络的配网线路故障诊断

随着电网的不断扩容,系统结构越来越复杂,多故障频发,而多故障是故障诊断的关键和难点。为解决故障处理数据量大,需要快速、准确地诊断电网故障的问题,本文提出了一种基于模糊优化图卷积神经网络的配网故障诊断模型。首先处理采集的配网故障线路的特征数据;其次,搭建基于图卷积神经网络的故障诊断模型,利用模糊理论建立配电网故障的隶属函数;最后利用训练好的模型进行配网故障诊断。仿真结果表明,模糊优化图卷积神经网络对多故障诊断的准确率高于卷积神经网络以及其他方法,本文方法做出的诊断结果更加精确,综合诊断效果最好。     

基于IFC标准的施工信息模型至图数据库的自动映射机制及其应用

工业基础类(industry foundation classes, IFC)文件是建筑信息模型的数据存储和交互的标准通用文件,其难以直接被用于数据分析和数据挖掘。图数据在描述数据间复杂关联关系时具有天然的优势,被大量应用于对关联关系的分析和挖掘中。建立从IFC文件到图数据库的自动映射机制,将IFC文件中的实体及其关联关系一一映射至图数据库的节点和关系中,并分析该自动映射机制的完备性和基于图数据库的信息管理效率。映射得到的基于图数据库的施工信息模型被应用于施工离散事件仿真、施工进度网络分析和施工延迟分析中。分析结果表明,提出的自动映射机制能够完整地传递基于IFC标准的信息,映射效率满足施工过程中信息高效交互的需求,且基于图数据的信息管理效率也高于直接操作IFC文件的效率。在此基础上,通过具体工程中施工进度信息的关系利用和挖掘体现所提数据映射机制的优越性,结果表明所提数据映射机制提高了预制装配式建筑施工管理效率。     

Autonomous Variable‐Resolution Map Building for Mobile Robots in Unknown Environments

This paper presents a method that allows simultaneous map building and path planning for mobile robots in unknown environments. A graphical representation of a workspace in variable resolutions is constructed using measurement data obtained by omnidirectional distance sensors. At the same time, a search for a feasible path to the target destination is executed using the constructed graph map. The proposed method is evaluated by performing simulations and experiments using an omnidirectional mobile robot equipped with laser range finders. © 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 186(4): 59–69, 2014; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.22493     

基于转换的攻击图分析方法研究

攻击图是一种分析计算机网络脆弱性的有效工具，它以图的方式描述了攻击者利用系统漏洞和单元间脆弱性信息综合入侵目标网络的行为过程。针对攻击图的最优弥补集问题，文章论证了最优弥补集问题与加权碰集问题之间的等价性，并提供了相应的形式化转换方法。在不增大问题规模的前提下，本文将最优弥补集问题形式化地转换为单一的加权碰集问题以进行求解。理论和实验均表明，在收敛于全局最优解方面，基于转换的分析方法较传统方法有更好的性能。