Multi-leader coordination algorithm for networks with switching topology and quantized information

This paper analyzes the stability and convergence properties of a proportional–integral protocol for coordination of a network of agents with dynamic information flow and quantized information exchange. In the setup adopted, each agent is only required to exchange its coordination state with its neighboring agents, and the desired reference rate is only available to a group of leaders. We show that the integral term of the protocol allows the agents to learn the reference rate, rather than have it available a priori, and also provides disturbance rejection capabilities. The paper addresses the case where the graph that captures the underlying network topology is not connected during some interval of time or even fails to be connected at all times.     

Physics inspired algorithms for (co)homology computations of three-dimensional combinatorial manifolds with boundary

The issue of computing (co)homology generators of a cell complex is gaining a pivotal role in various branches of science. While this issue may be rigorously solved in polynomial time, it is still overly demanding for large scale problems. Drawing inspiration from low-frequency electrodynamics, this paper presents a physics inspired algorithm for first cohomology group computations on three-dimensional complexes. The algorithm is general and exhibits orders of magnitude speed up with respect to competing ones, allowing to handle problems not addressable before. In particular, when generators are employed in the physical modeling of magneto-quasistatic problems, this algorithm solves one of the most long-lasting problems in low-frequency computational electromagnetics. In this case, the effectiveness of the algorithm and its ease of implementation may be even improved by introducing the novel concept of lazy cohomology generators.     

Design synthesis and structural optimization of a lightweight,monobloc cast iron brake disc with fingered hub

This article focuses on generating a monobloc fingered hub (top-hat) disc design, aiming at reducing disc mass but maintaining rotor thermal capacity, while also improving heat dissipation characteristics. The analyses and tests demonstrated that such a design is possible to achieve, with mass reduction of just over 9%. The activities included research into cast iron modelling, which gave very important insights into the limits of mechanical performance under bending. Initial finite element analyses enabled considerable progress to be made towards establishing a baseline design, but only through shape optimization and topology optimization procedures was the full potential of the design accomplished. Shape optimization facilitated the reduction of maximum principal stress by 32%, considerably improving disc torsional strength with practically no increase in mass. The safety factor in torsion achieved a value of 3.57. Topology optimization provided further, although small, mass reduction (1.5%) while maintaining low stress levels.     

Physical topology optimization of infrastructure health monitoring sensor network for high-speed rail

With the rapid development of high-speed rail (HSR) systems, the security and safety of these huge systems are becoming the primary concerns for passengers. HSR infrastructure plays an important role in HSR systems, making the maintenance of security and safety of the HSR infrastructure especially important. Meanwhile, sensor network technologies allow the realization of real-time and all-weather monitoring of HSR infrastructure. This paper analyzes the application requirements and characteristics of infrastructure health monitoring sensor network (IHMSN) through construction of a three-layer IHMSN which is composed of end devices, repeater points, and access points. The physical topology optimization goal of IHMSN is to set the optimal number of network nodes (namely, minimum cost) as well as the best physical connections. Given types and amount of the end devices, a multiple knapsack model is established which converts the physical topology optimization problems into multiple knapsack problems. Based on the different needs of practical application, three different cases (basis case, adding devices case and weight-based case) are proposed, and the corresponding models are built. Some artificial intelligence algorithms and a traditional dynamic programming algorithm are presented to solve the problems. In addition, a general algorithmic finite state machine is proposed to describe the solving process. After comparing these algorithms in execution time, memory, and optimal results, the genetic algorithm and particle swarm optimization algorithm stand out when used to solve the basic case as well as the extended cases. The numerical results show that these proposed models and algorithms can effectively solve the physical topology optimization problem of IHMSN for HSR systems. Moreover, these methods can effectively reduce network costs and provide a theoretical basis for network communication link optimization.     

基于加权应变能的某ATV车身拓扑优化设计

以极限弯曲和扭转工况的加权应变能最小为目标函数,以设计区域的体积分数为约束,以设计区域的材料密度为设计变量,建立基于加权应变能的拓扑优化模型。并对某ATV车身进行拓扑优化设计,得到了结构的载荷传递路径,验证了该方法的可行性。     

基频约束下的桁架结构半定规划法拓扑优化

大型复杂结构出现重频时该频点处不具有通常意义下的导数信息,基于灵敏度分析的优化算法遇到很大困难。若优化模型存在平衡方程等式约束,则为非凸优化,很难找到全局最优解。对此该文以桁架结构为研究对象,采用半定规划法建立了以结构系统体积和基频为约束,以柔度最小为目标的凸优化模型。通过将柔度和基频构造成半定矩阵的形式,将传统优化模型转化为半定规划模型。该模型将杆件横截面积和柔度均视为优化变量,模型的特点是在求解过程中不必计算特征值的灵敏度,对有无重频问题均适用。数值算例表明采用半定规划法处理重频优化问题是正确可行的。     

基于OPC技术搭建的工控信息平台

针对当前白银有色集团铜业公司过程控制现状,应用OPC技术实现全厂搭建工控信息平台,将目前在用的不同厂家、不同系统、不同品牌的各分散的控制系统的数据集中显示、远程管理,实现全厂工业监控数据资源共享。     

极端环境下MMC子模块故障高可靠旁路保护策略

电力系统空间范围大且各环节联系紧密,雷击、地震、极寒等极端环境易对电力设备产生直接和间接影响,并进一步引起系统电气量的剧烈变化,研究极端环境下MMC子模块的故障保护对提高电力系统的安全稳定运行水平具有重要意义。文中分析了极端环境下MMC子模块的故障特性,采用基于子模块电容电压比较的故障诊断方法,提出一种在子模块输出端口间加装晶闸管的极端环境下MMC子模块高可靠旁路故障保护策略：配置冗余供能电路确保子模块状态可控,利用晶闸管过电压击穿作为后备被动保护,结合子模块的多级保护和热、冷备用冗余子模块的投入,实现极端环境下对故障子模块的高可靠旁路保护。以±800 kV特高压柔性直流输电系统为算例,经仿真验证所提策略具有良好的可行性,能够提高极端环境下子模块故障保护的可靠性和速动性,同时对晶闸管击穿后流过桥臂电流进行热仿真,发现已超过其工作温度限制,为满足长期旁路通流要求,加装晶闸管击穿后须通过散热器进行强制冷却。     

基于多业务QoS服务的拓扑控制算法研究

随着无线网络技术的不断发展,无线Ad hoc网络中,快速变化的网络拓扑影响着网络的性能。因此,在实现网络能量优化的前提下,如何提供有效的QoS服务来满足多业务要求是无线Ad hoc网络所必须面对的问题。针对此问题,提出了一种基于多业务需求的拓扑控制的方法,该方法考虑业务QoS指标的同时引入跨层的设计思想,实现了跨层的功率控制,减少了网络中节点的能量消耗,延长了网络的生命周期。     

P2P大规模流媒体调度技术研究

随着宽带、IPV6、3G等技术的日渐成熟,流媒体应用已成为Internet承载的重要业务.调度技术是保证大规模可信流媒体服务质量的关键问题之一.对典型流媒体调度和分发技术进行综述,归纳分析了基于P2P网络环境下树型、网状以及混合拓扑结构的流媒体技术的优缺点,对mesh网下的资源发布于查找、服务节点选择、数据块调度等进行了重点分析和评述.依据流媒体应用的发展趋势,预测了P2P大规模可信流媒体调度技术在适应复杂网络,及结合云技术等方面的研究方向与内容.