Semi‐Global Output Feedback Stabilization for a Class of Uncertain Nonlinear Systems

This paper addresses the problem of semi‐global stabilization by output feedback for a class of nonlinear systems whose output gains are unknown. For each subsystem, we first design a state compensator and use the compensator states to construct a control law to stabilize the nominal linear system without the perturbing nonlinearities. Then, combining the output feedback domination approach with block‐backstepping scheme, a series of homogeneous output feedback controllers are constructed recursively for each subsystem and the closed‐loop system is rendered semi‐globally asymptotically stable.     

一类具有Beddington - DeAngelis功能反应的离散竞争系统的概周期解

针对一类具有Beddington - DeAngelis功能反应的离散竞争系统,运用差分不等式和通过构造适当的Lyapunov函数,证明了该系统具有持久性和全局吸引性.利用差分概周期方程的壳理论,得到了保证该系统存在唯一的概周期解的充分条件.所得结果补充了文献[3]和文献[4]的工作.     

WiNoC中基于Edge first算法的流量平衡设计

在无线片上网络中,无线节点拥塞以及不同子网和全局网络内的流量平衡情况对整个片上网络的通信效率有着重要的影响,为此提出了基于Edge first算法的全局流量平衡机制（GTB）。首先优化了划分有线无线数据包的机制,减少了无线节点处的拥塞;其次根据无线路由器（WR）的拥塞情况,提出Edge first路由算法平衡子网内的流量;最后在全局网络中提出了全局子网拥塞感知（GSCA）判断机制,使得长距离数据包优先从低拥塞子网通过,平衡了全局网络的流量。实验表明,该方案在可接受的硬件开销、功耗开销下,保证较低的网络延迟和较高的网络吞吐率,并且大幅的提升了网络的流量平衡性能。     

基于改进自注意力机制生成对抗网络的智能电网GPS欺骗攻击防御方法

为了避免全球定位系统欺骗攻击(GSA)对相量测量装置造成的危害,提出了一种基于改进自注意力机制生成对抗网络(SAGAN)的智能电网GSA防御方法.首先,通过引入深度学习参数,构建了改进网络-物理模型,利用历史数据计算得到当前时刻的量测值.然后,在SAGAN的生成器和判别器网络中分别融入一个时间注意力模块,提出了一种用于实现网络-物理模型的改进SAGAN防御方法.通过训练改进SAGAN,得到一对判别器和生成器,利用判别器检测采集的量测值是否遭受GSA,当检测到攻击时,利用生成器生成的数据替换欺骗数据,从而实现智能电网对GSA的主动防御.最后,基于IEEE 14节点和IEEE 118节点系统进行仿真测试,结果验证了所提方法的可行性和有效性.     

2000—2014年辽宁省植被动态演变特征分析

基于MODIS － NDVI 数据,辅以线性回归法与分段线性回归法,并借助ArcGIS 软件,对辽宁 省2000—2014 年植被覆盖的动态演变过程进行分析。结果表明: ( 1) 时间上,辽宁省植被NDVI 在年 际尺度上呈现出明显的增大趋势,2005 年出现突变,多年平均NDVI 值为0. 496; 春季、夏季、秋季 以及植被生长季NDVI 突变年份分别为2006 年、2005 年、2009 年和2004 年,秋季波动变化的突变点 明显滞后; 植被生长最旺盛的季节为夏季,且集中于8 月。( 2) 空间上,辽宁省植被覆盖具有明显的 地域性差异,呈现出东部高、中西部低的分布特征; 辽宁省植被覆盖优良区与辽东山地的界限基本吻 合,植被覆盖贫乏区主要集中在朝阳市和阜新市的东北部地区。( 3) 辽宁省植被覆盖程度呈山地阴坡 高于阳坡的形态,并且植被覆盖程度最好的坡向为北偏西方向。( 4) 2000—2014 年辽宁省植被覆盖度 整体以维持现状和轻微改善为主,保持不变的区域集中于中东部地区,辽阳市与沈阳市一带有轻微退 化现象,辽西北地区改善情况较为明显。     

Managing knowledge on communication and information flow in global software projects

Communication is a key success factor of distributed software projects. Poor communication has been identified as a main obstacle to successful collaboration. Global projects are especially endangered by information gaps between collaborating sites. Different communication styles, technical equipment, and missing awareness of each other can cause severe problems. Knowledge about actual and desired channels, paths, and modes of communication is required for improving communication in a globally distributed project. However, many project participants know little about communication and information flow in their projects. In this contribution, we focus on knowledge about communication and information flow. It is acquired by modelling on‐going and desired flows of information, including documented and non‐documented channels of information flow. We analyzed a distributed software project from the information flow perspective. Based on the findings, we developed specific techniques to improve information flow in distributed software development according to the FLOW Method. In a second distributed project, we evaluated one of the techniques. We found the FLOW mapping technique to be suitable for effectively spreading knowledge about communication and information flow in global software projects.     

Integration by communication: knowledge exchange in global outsourcing of product software development

Global outsourcing is a growing trend among independent software vendors. In these projects like other distributed work, distances have negative effects on communication and coordination, directly impacting performance. We present a normative model designed to address this issue by improving communication and knowledge exchange. The model consists of six distinct practices and a tool blueprint, each coming with practical guidelines. It is based in part on two case studies of Dutch software vendors who have successfully outsourced part of their activities to an Eastern European outsourcing vendor, and validated by a panel of six experts from industry and the scientific community. It is concluded that knowledge exchange in global software outsourcing is a by‐product of efforts to enhance communication and coordination, rather than specific technical solutions. By committing to sharing knowledge, emphasizing transparency and integrating the outsourcing team into their organizations, customers from the product software business can realize the benefits of global outsourcing.     

榫边扣合管状密闭输送带的制作及其质量优化

对用于制药、精细化工、建材业等输送松散及粉、粒物料不污染环境的榫边扣合管状密闭输送带的结构特点、技术要求、制造工艺和优化制品质量的技术措施及效果进行了实验探讨。     

动态格点搜索的改进算法用于团簇结构快速优化

结合高效的动态格点搜索(DLS)算法与扰动操作(Perturbation Operation)提出一种新的改进方法(DLS-PO),用于确定团簇的最低能量结构。针对一个特定构型,DLS算法总能给出其对应搜索空间的最规则结构。然而,一次失败的DLS优化将消耗大量的运算资源。为此,采取原子移动和结构旋转的扰动操作成功地改变了构型,再结合后续的DLS操作,提高了优化效率。将该算法用于原子数高达309的Lennard-Jones团簇及100原子NP-B函数铝团簇的结构优化。优化结果显示相比于DLS算法,DLS-PO算法更为高效。     

轴向冲击下波纹腹板梁的失稳控制和能量吸收

针对Sine波纹腹板梁结构,通过设计其初始振幅缺陷,控制不同波形阶数下波纹梁的失稳模态,引导上下翼板按预期渐进、稳定、可重复的压溃变形模式发展.采用Abaqus/Explicit中的显式动力学方法数值模拟初始振幅缺陷与比吸能(Specific Energy Absorption,SEA)的关系.通过对比低阶、中阶和高阶波形的载荷-位移曲线说明波形阶数对吸能特性和失稳控制的影响.结果表明:对于给定的波形阶数,存在初始振幅缺陷的临界值使Sine波纹腹板梁结构达到预期的临界失稳状态,同时SEA最大;初始振幅缺陷越大,失稳控制越容易,但吸能效果随之降低.