Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization

This article aims to identify the partial topological structures of delayed complex network.Based on the drive-response concept,a more universal model,which includes nonlinear couplings,stochastic perturbations and multi-weights,is considered into drive-response networks.Different from previous methods,we obtain identification criteria by combining graph-theoretic method and adaptive synchronization.After that,the partial topological structures of stochastic multi-weighted complex networks with or without time delays can be identified successfully.Moreover,response network can reach synchronization with drive network.Ultimately,the effectiveness of the proposed theoretical results is validated through numerical simulations.

Parameter Estimation and Topology Identification of Uncertain General Fractional-order Complex Dynamical Networks with Time Delay

Complex networks have attracted much attention from various fields of sciences and engineering in recent years.However, many complex networks have various uncertain information, such as unknown or uncertain system parameters and topological structure, which greatly affects the system dynamics.Thus, the parameter estimation and structure identification problem has theoretical and practical importance for uncertain complex dynamical networks. This paper investigates identification of unknown system parameters and network topologies in uncertain fractional-order complex network with time delays(including coupling delay and node delay). Based on the stability theorem of fractional-order differential system and the adaptive control technique, a novel and general method is proposed to address this challenge. Finally two representative examples are given to verify the effectiveness of the proposed approach.

Dynamic Event-Triggered Scheduling and Platooning Control Co-Design for Automated Vehicles Over Vehicular Ad-Hoc Networks

This paper deals with the co-design problem of event-triggered communication scheduling and platooning control over vehicular ad-hoc networks(VANETs)subject to finite communication resource.First,a unified model is presented to describe the coordinated platoon behavior of leader-follower vehicles in the simultaneous presence of unknown external disturbances and an unknown leader control input.Under such a platoon model,the central aim is to achieve robust platoon formation tracking with desired inter-vehicle spacing and same velocities and accelerations guided by the leader,while attaining improved communication efficiency.Toward this aim,a novel bandwidth-aware dynamic event-triggered scheduling mechanism is developed.One salient feature of the scheduling mechanism is that the threshold parameter in the triggering law is dynamically adjusted over time based on both vehicular state variations and bandwidth status.Then,a sufficient condition for platoon control system stability and performance analysis as well as a co-design criterion of the admissible event-triggered platooning control law and the desired scheduling mechanism are derived.Finally,simulation results are provided to substantiate the effectiveness and merits of the proposed co-design approach for guaranteeing a trade-off between robust platooning control performance and communication efficiency.

A Clustering-tree Topology Control Based on the Energy Forecast for Heterogeneous Wireless Sensor Networks

How to design an energy-efficient algorithm to maximize the network lifetime in complicated scenarios is a critical problem for heterogeneous wireless sensor networks(HWSN).In this paper, a clustering-tree topology control algorithm based on the energy forecast(CTEF) is proposed for saving energy and ensuring network load balancing, while considering the link quality, packet loss rate, etc. In CTEF, the average energy of the network is accurately predicted per round(the lifetime of the network is denoted by rounds) in terms of the difference between the ideal and actual average residual energy using central limit theorem and normal distribution mechanism, simultaneously. On this basis, cluster heads are selected by cost function(including the energy, link quality and packet loss rate) and their distance.The non-cluster heads are determined to join the cluster through the energy, distance and link quality. Furthermore, several noncluster heads in each cluster are chosen as the relay nodes for transmitting data through multi-hop communication to decrease the load of each cluster-head and prolong the lifetime of the network. The simulation results show the efficiency of CTEF. Compared with low-energy adaptive clustering hierarchy(LEACH), energy dissipation forecast and clustering management(EDFCM) and efficient and dynamic clustering scheme(EDCS)protocols, CTEF has longer network lifetime and receives more data packets at base station.

A Location-Based Clustering Topology Control Algorithm in WSN

Aiming at the existing problems in Leach algorithm,which has short network survival time and high energy consumption,a new location-based clustering topology control algorithm is proposed.Based on Leach algorithm,improvements have been done.Firstly,when selecting cluster head,node degree,remaining energy,and the number of being cluster head,these three elements are taken into consideration.Secondly,by running the minimum spanning tree algorithm,the tree routing is constructed.Finally,selecting the next hop between clusters is done by MTE algorithm.Simulation results show that the presented control algorithm has not only a better adaptability in the large-scale networks,but also a bigger improvement in terms of some indicators of performance such as network lifetime and network energy consumption.

A hierarchical autonomous system based space information network architecture and topology control

SIN(Space Information Network)has recently emerged as a promising approach to solving the collaboration difficulty among current space programs.However,because of the SIN’s large scale,high component complexity,and dynamic characteristics,designing a proper SIN architecture is challenging.Firstly,we propose a novel SIN architecture,which is composed of GEO(Geostationary Earth Orbit)satellites as backbone network nodes,LEO(Low Earth Orbit)or other types of satellites as enhanced coverage nodes,and high-altitude platforms to meet the service requirements of emergency or hot-spot applications.Unlike most existing studies,the proposed architecture is AS(Autonomous-System)based.We decouple the complex SIN into simpler sub-networks using a hierarchical AS model.Then,we propose a topology control algorithm to minimize the time delay among sub-AS networks.We prove that the proposed algorithm achieves logical k-connectivity provided that the original physical topology has k-connectivity.Simulation results validate the theoretic analysis and effectiveness of the algorithm.

损管指挥信息系统复杂网络拓扑结构研究

现代舰船灾害发生的突然性、灾害传播的快速性及其影响的广泛性显著增强,迫切需要提升损管指挥体系的信息化水平。基于复杂网络理论,建立了舰艇损管指挥信息系统的网络拓扑模型。通过网络拓扑模型的特征指标计算,对不同的损管指挥信息网络模式进行评估分析,给出提升损管指挥信息化水平的优化方法。完成损管指挥信息系统组织结构模型的构建、分析和优化工作,开发允许拓扑结构方案自定义的性能计算软件,改善传统树状损管指挥结构的不足,为损管指挥信息化研究提供一个新的方向。

复杂网络均匀拓扑分割算法的结构能控性指数研究

结构能控性指数K是网络系统达到能控状态的控制时间步长的衡量指标。为更好地均衡复杂网络系统的控制时间步长与控制成本,采用均匀拓扑分割的算法,选取合适驱动节点集,得到更低的结构能控性指数的同时,均衡网络的控制时间步长与控制成本。算法的可行性通过证明系统分割后的子系统的结构能控性指数是原网络结构能控性指数的上界关系进行验证。通过仿真与最大匹配算法对ER随机网络和真实网络进行其有效性对比,仿真结果表明:本文算法达到均衡网络控制时间步长与控制成本的效果。

基于网信体系的有人无人集群指挥控制

首先,梳理了国外有人无人作战集群指挥控制(指控)能力发展应用水平,对有人无人集群作战模式以及难点进行了分析;然后,为克服需求复杂、优化配置难、互操作难和自主决策难等一系列问题,面向无人机、无人车和无人艇/潜航器等无人装备,提出了一种基于网络信息体系的有人无人作战集群指控体系架构,探讨其能力生成机制与系统能力特点;最后,提出了重点突破异构无人平台互操作、跨域安全泛在通信、分布式自主协同控制和集群协同任务规划4个方面指控关键技术,并给出其发展建议。

基于网络信息体系的全域联合指挥与控制技术及未来展望

面向现代战争需求,全域联合作战通过打破传统作战区域限制,能够实现不同军种和作战领域的信息共享、军事力量整合和协同作战,从而提升作战效率、增强指挥灵活性、优化资源配置。全域联合有诸多优势,使基于网络信息体系的全域联合指挥与控制技术成为研究重点。本文系统分析了全域联合指挥与控制的发展历程、技术应用、架构设计和关键技术,同时结合国外的研究现状探讨发展方向,旨在为全域联合指挥与控制技术的发展提供参考。

新朔铁路调度集中系统优化设计

探讨新朔铁路调度系统的实施与效果。该系统成功落地应用,实现调度集中系统与调度信息系统的深度融合,使两者能够一体化运行,提高运输组织效率。为确保系统的稳定性和安全性,对调度集中系统可能存在的安全隐患进行深入的分析,并提出改进策略和预防措施。在系统的实际应用中,对出现的问题进行分析,提出具体解决方案和建议。最后,对系统在新朔铁路的未来发展进行前瞻性的展望,包括控制集中化、联锁一体化和通信现代化等。

Complex Cyber-Physical Networks： From Cybersecurity to Security Control

Complex cyber-physical network refers to a new generation of complex networks whose normal functioning significantly relies on tight interactions between its physical and cyber components. Many modern critical infrastructures can be appropriately modelled as complex cyber-physical networks. Typical examples of such infrastructures are electrical power grids, WWW, public transportation systems, state financial networks, and the Internet. These critical facilities play important roles in ensuring the stability of society as well as the development of economy. Advances in information and communication technology open opportunities for malicious attackers to launch coordinated attacks on cyber-physical critical facilities in networked infrastructures from any Internet-accessible place. Cybersecurity of complex cyber-physical networks has emerged as a hot topic within this context. In practice, it is also very crucial to understand the interplay between the evolution of underlying network structures and the collective dynamics on these complex networks and consequently to design efficient security control strategies to protect the evolution of these networks. In this paper, cybersecurity of complex cyber-physical networks is first outlined and then some security enhancing techniques,with particular emphasis on safety communications, attack detection and fault-tolerant control, are suggested. Furthermore, a new class of efficient secure control strategies are proposed for guaranteeing the achievement of desirable pinning synchronization behaviors in complex cyber-physical networks against malicious attacks on nodes. The authors hope that this paper motivates to design enhanced security strategies for complex cyber-physical network systems, to realize resilient and secure critical infrastructures.

Semantic model and optimization of creative processes at mathematical knowledge formation

The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the formation of deductive theory is represented as the development of a certain informational space, the elements of which are structured in the form of the orientated semantic net. This net is properly metrized and characterized by a certain system of coverings. It allows injecting net optimization parameters, regulating qualitative aspects of knowledge system under consideration. To regulate the creative processes of the formation and realization of mathematical know- edge, stochastic model of formation deductive theory is suggested here in the form of branching Markovian process, which is realized in the corresponding informational space as a semantic net. According to this stochastic model we can get correct foundation of criterion of optimization creative processes that leads to “great main points” strategy (GMP-strategy) in the process of realization of the effective control in the research work in the sphere of mathematics and its applications.

管制空域复杂网络模型构建及抗毁性分析

为分析现有管制空域的结构特性与面对多种真实情况下的抗毁性,从空中交通管制的角度出发,以管制空域的最小单位扇区为基础,构建复杂网络模型,并以介数、紧密中心性等拓扑特性参数计算方法筛选关键扇区,以聚类系数、度、度分布等参数来反映空域内部的连接情况。通过4种能反映不同真实情况的攻击策略对模型进行抗毁性测试。最终结果显示:扇区网络在维持扇区连接结构上表现出较好的抗毁性,而在维持网络运行效率和保障航空器通行能力上抗毁性不佳。

基于IEA-ARIMA模型的微博信息传播效率研究

构建一种基于改进欧拉算法的时序模型(IEA-ARIMA),从复杂网络理论和路径两方面选取多个指标,对网络静态拓扑结构进行分析,探索不同网络结构下的微博信息传播效率。得出在球型网络、随机网络和微博网络三种不同结构中,球型网络是最优的传播环境,可显著提升微博信息的传播效率。文中深入探讨网络拓扑结构对信息传播效率的影响,并提供新的预测方法,对提高微博信息的传播效率具有重要意义。

面向信息时代网络赋能指挥控制的层次模式连通结构

信息时代网络赋能指挥控制(network enabled command and control,NEC2)的理念,是通过使联网作战兵力信息共享效益最大化,达到作战效能的最大化.通过分析NEC2信息布局应具有的属性要求,提出一种可实现的层次模式联合兵力指挥控制(command and control,C2)连通结构,对其自适应C2特性进行分析,最后结合层次模式指挥控制连通结构信息交换示例,对信息标准交换和按需交换进行介绍,并论述了该连通结构的特性、优点和技术要求.

利用既有铁路开行市域(郊)列车调度集中系统信息交互研究

针对城市轨道交通线网指挥中心需与铁路局调度集中系统进行信息交互的需求,以北京铁路枢纽利用既有东北环铁路增建第二线开行市域(郊)列车典型工程为例,基于城市轨道交通线网指挥中心的需求分析,以及该工程调度集中系统的设计情况,对铁路局调度集中系统向城市轨道交通线网指挥中心的调度集中信息交互进行了浅度、中度、深度交互方式的多方案分析研究,提出基于局间接口方式构建行调信息复示系统的技术方案。该技术方案构建的行调信息复示系统,符合现行规范要求,铁路局调度集中系统侧设备和轨道交通线网指挥中心侧设备之间的物理界面清晰,不影响国铁调度集中系统和城市轨道交通线网指挥系统的现有系统结构,契合该工程由铁路局运输且调度指挥纳入铁路局管理的工程实际。为铁路局调度集中系统至城市轨道交通线网指挥中心的调度集中信息传递,提供了一种可供工程实施的设计方案。

基于双层耦合网络的无人集群分布式系统模型

改善现有无人集群系统实用化不足,需关注解决动态、自主、鲁棒、匹配和可扩展的多维平衡问题,研究设计提供多类算法耦合适配的基础架构。基于双层耦合网络的无人集群分布式系统模型,从信息交互视角出发,基于复杂网络演化模型相关理论,提出基于CDLW与H-CDLW演化模型的横纵解耦双层系统架构,设计了匹配的基于层次化交互控制的多目标融合拣选算法。仿真结果表明,基于双层解耦的交互控制,具备在动态、自主、鲁棒、匹配和可扩展等实用化目标多维均衡方面的优势,能够提供兼具匹配性和可扩展性的分层控制机制,具备成为一般性模型架构的基础。

基于安全域的复杂网络信息系统设计

设计了基于安全域的复杂网络信息系统,利用防火墙技术、防病毒技术、入侵检测技术以及加密技术构建统一的安全防御体系,实现复杂网络信息的安全性。在系统中设计了网络访问控制的相关技术,采用零信任思想对复杂网络信息系统实施更加系统化、细粒度的访问控制。最后利用数据融合组合算法模型将多种算法运用到复杂网络信息安全检测的大数据融合中,实现网络信息的安全检测。实验结果表明,本文研究的系统在对复杂网络信息系统进行性能测试时,网络传输所需时间最少为0.22 s;在进行网络信息安全检测的可信度测试时,可信度最高为96%。

清洁能源轨道工程车网络控制及能量管理策略设计

轨道工程车辆网络控制系统作为车辆的“大脑”,通过采集和发送信息指令控制车辆各部件正常运行,对车辆及牵引传动部件关键参数实时采集分析,通过司控台显示器进行显示,能够对车辆状态和部件异常参数输出报警信息,结合故障级别自动采取相应的保护措施,是列车的关键系统。以某新型“氢燃料电池+锂电池”清洁能源轨道工程车为对象,开展轨道工程车网络控制系统架构设计、功能设计,并对车辆起步/爬坡、运行及制动3种工况下车辆能量管理进行研究。设计结果实现了“零碳排放”,有效解决了传统内燃车辆尾气排放污染问题。