Design of Power Communication Data Network Management System and Implementation of Data Acquisition Module

The power communication network is a separate network from the power grid whose primary purpose is to ensure the power grid's safe operation.This paper expounds the composition of the comprehensive network management architecture of the power communication data network and the implementation of the data acquisition module in the network management system through theoretical analysis,for the reference of relevant personnel,in order to better promote the collection of power grid communication network data.

The Complex System Modeling Method Based on Uniform Design and Neural Network

In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.

H-Infinite Controller Design of Singular Networked Control Systems

This paper investigates the H∞ controller design method for a class of singular networked control systems (SNCS) based on the singular plant. In view of the network-induced delay less than or equal to a sampling period, finite external disturbance, clock-driven sensors, event-driven controller and actuators as well as impulse behavior and structural instability of singular plants, the H∞ controller design method of SNCS with state feed- back way and dynamic output feedback way is investigated respectively by means of the linear matrix inequality method. The existence condition of H∞ control law, the solving approaches of H∞ controller parameters and disturbance attenuation degree are presented. Finally, a simulation example is given to illustrate the effectiveness and feasibility of the presented method.

Development of an electrode intelligent design system based on adaptive fuzzy neural network and genetic algorithm

The coating on the electrodes contains many kinds of raw materials which affect significantly on the mechanical properties of deposited metals. It is still a problem how to predict and control the mechanical properties of deposited metals directly according to the components of coating on the electrodes. In this paper an electrode intelligent design system is developed by means of fuzzy neural network technology and genetic algorithm,, dynamic link library, object linking and embedding and multithreading. The front-end application and customer interface of the system is realized by using visual C ＋＋ program language and taking SQL Server 2000 as background database. It realizes series functions including automatic design of electrode formula, intelligent prediction of electrode properties, inquiry of electrode information, output of process report based on normalized template and electronic storage and search of relative files.

Design of Intelligent Water-Saving Irrigation System Based on Internet of Things

This paper studies the design of water-saving irrigation system based on Internet of things. The structural model of the water-saving irrigation system was established, and the hardware and software of the control system were designed, with emphasis on the design and coverage calculation of the sensor nodes in the wireless sensor network. The wireless network and control system are tested, including network coverage, network connection, optimal communication distance and accuracy of data transmission. The experimental results show that the data transmitted by the wireless sensor is accurate and reliable, and the software and hardware of the automatic control system can work normally. The system can carry out intelligent irrigation timely and accurately.

Adaptive Output Tracking for Nonlinear Network Control Systems with Time-Delay

The problem of adaptive output tracking is researched for a class of nonlinear network control systems with parameter uncertainties and time-delay. In this paper, a new program is proposed to design a state-feedback controller for this system. For time-delay and parameter uncertainties problems in network control systems, applying the backstepping recursive method, and using Young inequality to process the time-delay term of the systems, a robust adaptive output tracking controller is designed to achieve robust control over a class of nonlinear time-delay network control systems. According to Lyapunov stability theory, Barbalat lemma and Gronwall inequality, it is proved that the designed state feedback controller not only guarantees the state of systems is uniformly bounded, but also ensures the tracking error of the systems converges to a small neighborhood of the origin. Finally, a simulation example for nonlinear network control systems with parameter uncertainties and time-delay is given to illustrate the robust effectiveness of the designed state-feedback controller.

H-infinity performance optimization for networked control systems with limited communication channels

This paper studies the problems of H-infinity performance optimization and controller design for continuous-time NCSs with both sensor-to-controller and controller-to-actuator communication constraints （limited communication channels）. By taking the derivative character of network-induced delay into full consideration and defining new Lyapunov functions, linear matrix inequalities （LMIs）-based H-infinity performance optimization and controller design are presented for NCSs with limited communication channels. If there do not exist any constraints on the communication channels, the proposed design methods are also applicable. The merit of the proposed methods lies in their Jess conservativeness, which is achieved by avoiding the utilization of bounding inequalities for cross products of vectors. The simulation results illustrate the merit and effectiveness of the proposed H-infinity controller design for NCSs with limited communication channels.

Adaptive L_2 control of nonlinear systems using neural networks

An adaptive neural network controller is developed to achieve output-tracking of a class of nonlinear systems. The global L 2 stability of the closed-loop system is established. The proposed control design overcomes the limitation of the conventional adaptive neural control design where the modeling error brought by neural networks is assumed to be bounded over a compact set. Moreover, the generalized matching conditions are also relaxed in the proposed L 2 control design as the gains for the external disturbances entering the system are allowed to have unknown upper bounds.

Hybrid approach for fuzzy system design

A hybrid approach for fuzzy system design based on clustering and a kind of neurofuzzy networks is proposed. An unsupervised clustering technique is firstly used to determine the number of if-then fuzzy rules and generate an initial fuzzy rule base from the given input-output data. Then, a class of neurofuzzy networks is constructed and its weights are tuned so that the obtained fuzzy rule base has a high accuracy. Finally, two examples of function approximation problems are given to illustrate the effectiveness of the proposed approach.

H2 and H∞-Feedback Control Design for Nonlinear Gene Networks via Successive Galerkin’s Approximation

This paper presents a design method of H2 and H∞-feedback control loop for nonlinear smooth gene networks that are in control affine form. Formulaic solution methodology for solving the nonlinear partial differential equations, namely the Hamilton-Jacobi-Bellman and Hamilton-Jacobi-Isaacs equations through successive Galerkin’s approximation is implemented and the results are compared. Throughout the implementation, there were several caveats that need to be further resolved for practical applications in general cases. Such issues and the clarification of causes are mathematically established and reviewed.

基于人工智能技术的计算机网络安全防御系统设计

为满足计算机网络安全防御需求,需要探索人工智能技术的应用潜力。本文分析了当前计算机网络安全的严峻形势,概述了人工智能技术的核心优势,设计了一套基于人工智能的网络安全防御系统,并详细阐述了其关键功能和实现策略。

AFC移动支付组网设计与故障分析

基于层次化网络设计模型,给出地铁终端设备至地铁移动支付平台的城市轨道交通自动售检票(Automatic Fare Collection,AFC)系统移动支付网络架构设计方案。文章使用VLAN技术和Trunk模式构建AFC移动支付网络,以三号线地铁为例描述新增移动支付三层交换机使用通信光纤进行自组环网过程中的关键设计,运用网络冗余设计方法提高移动支付网络冗余性,实现了AFC终端设备与移动支付平台通信,针对地铁AFC移动支付网络架构特点,给出移动支付在AFC中常见网络故障分析与处理方法。

基于数据加密技术的配网可视化同步验收联调系统

以提升配网供电质量为目的,基于数据加密技术设计配网可视化同步验收联调系统。在感知层中,利用传感装置采集配网设备参数信息,并传输至网络层;在网络层中,采用AES算法对参数信息实施加密后,通过无线网络传输至应用层;在应用层中,验收解密后的设备参数信息,并将信息存储于数据库服务器内,之后由联调模块读取信息并利用集中控制器生成对应的联调指令;在显示层中,通过三维平行散点图等形式向用户展示配网设备状态的各项参数信息。实验结果显示:该系统所采用的数据加密技术具有较高安全性和随机性,且联调性能较好。应用该系统后,电压越下限问题得到了有效改善。

一种农业自动化灌溉系统的高效能设计研究

以进一步提升农业自动化灌溉系统的作业效率为研究目标,选取其核心结构组件布局作为研究对象,基于通信控制优化理念展开高效能设计研究。结合自动化灌溉系统的运行机理,从通信网络架构分层角度入手,建立灌溉系统参数计算处理模型。针对系统软件控制和硬件配置完成优化,选定灌溉作物进行灌溉试验,结果表明:此通信网络架构理念下的控制优化布局,可实现灌溉系统的响应准确率与决策准确率同步提升,系统运行稳定有效;整体系统的灌溉效率可达94.55%,满足智能化灌溉控制设计要求,具有很好的应用推广价值。研究结果对于灌溉系统向智能化精准化提升有较好的启示意义。

INTEGRATED LAYOUT DESIGN OF CELLS AND FLOW PATHS

The integrated layout problem in manufacturing Systems is investigated. Anintegrated model for Concurrent layout design of cells and flow paths is formulated. A hybridapproach combined an enhanced branch-and-bound algorithm with a simulated annealing scheme isproposed to solve this problem. The integrated layout method is applied to re-layout the gear pumpshop of a medium-size manufacturer of hydraulic pieces. Results show that the proposed layout methodcan concurrently provide good solutions of the cell layouts and the flow path layouts.

Multi-Agent Architecture for the Design of WSN Applications

Complex and distributed systems are more and more associated with the application of WSN (Wireless Sensor Network) technology. The design of such applications presents important challenges and requires the assistance of several methodologies and tools. Multi-Agent systems (MAS) have been identified as one of the most suitable technologies to contribute to this domain due to their appropriateness for modeling distributed and autonomous complex systems. This work aims to contribute in the help of the design of WSN applications. The proposed architecture exploits the advantages of MAS for modeling WSN services, network topologies and sensor device architectures.

SDN网络系统管理平台的设计与实现

文章主要设计一种软件定义网络(Software Defined Network,SDN)管理系统平台,首先分析系统的用户需求,其次提出其整体框架、模块设计以及数据库设计,并进行系统测试。文章所设计的平台能够优化网络维护的流程,提升网络管理员开展日常网络维护工作的效率。

Research on Optimal Design for Reliability of Fuze Components

Reliability optimal design is an integrated approach widely adopted in engineering. The fuze components are designed by a BP neural network combined with an optimal design approach based on their multi-failure modes. Their reliability probabilities in multi-failure modes are transformed into deterministic design parameters. The designed results by an example of optimizing the fuze spring under a certain reliability show that the integrated approach is practical and efficient.

航天网络信息体系云原生架构设计

云原生技术赋能航天网络信息体系基础设施建设,可提升航天信息系统的灵活适应性。以分布式云原生网络信息体系敏捷开发机制为主线,设计了航天网络信息体系云原生架构。首先,分析了云原生基础设施技术体系;然后,提出了由云边协同底座、云原生基础设施平台和云原生应用构成的航天网络信息体系总体架构方案;最后,对云边协同底座与云原生基础设施平台进行了设计,从而为我国航天网络信息体系架构设计及应用提供参考。