Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer

In this paper, a fault-tolerant control (FTC) scheme is developed for a class of nonlinear sampled-data systems. First, a Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method.     

A modified Guruswami-Sudan algorithm for decoding Reed-Solomon codes

We tighten a key estimate, which dictates the computational complexity of Guruswami-Sudan algorithm, on the lower bound of the degrees of freedom, and then propose a modified decoding algorithm for Reed-Solomon codes beyond half the minimum distance. The computational complexity of the modified algorithm is lower than the Guruswami-Sudan algorithm for the medium to high rate Reed-Solomon codes, and has the same asymptotic complexity as the algorithm proposed by Wu. Besides we also claim that our modified algorithm outperforms Wu's algorithm to some extent.     

金融行业软件测试交易链自动化生成方法

针对银行核心业务系统软件测试的效率问题,提出了一种根据测试用例间的关联关系自动生成交易链的方法,在提高银行核心业务系统软件测试效率的同时,来表现其业务的完整性,并通过实际应用验证了该方法的可行性和有效性.     

电脑鼠软件系统关键技术研究

引言电脑鼠(micro mouse)是一个由微处理器控制的集感知、判断、行走功能于一体,能够自动寻找最佳路径到达目的地的微型机器人。电脑鼠走迷宫竞赛就是让电脑鼠在迷宫中从起点以最短的时间走到终点的过程[1]。电脑鼠是集软件和硬件为一体的系统。电脑鼠的软件系统是电脑鼠的大脑,需要具备获得迷宫信息、遍历迷宫、     

浅议以太网基本性能测试指标及相应的测试方法

本文就目前国际上对以太网基本性能测量的指标进行整理和分析并给出了相应的测试方法。     

Robust adaptive control for greenhouse climate using neural networks

This paper presents a general framework for robust adaptive neural network (NN)‐based feedback linearization controller design for greenhouse climate system. The controller is based on the well‐known feedback linearization, combined with radial basis functions NNs, which allows the feedback linearization technique to be used in an adaptive way. In addition, a robust sliding mode control is incorporated to deal with the bounded disturbances and the approximation errors of NNs. As a result, an inherently nonlinear robust adaptive control law is obtained, which not only provides fast and accurate tracking of varying set‐points, but also guarantees asymptotic tracking even if there are inherent approximation errors. Copyright © 2010 John Wiley & Sons, Ltd.     

基于情感词典扩展技术的网络舆情倾向性分析

随着Web2.0时代的到来,网络已逐渐成为反映社会舆情的重要载体之一,网络舆情发现及网民的观点和倾向性挖掘也成为新的研究热点,但是目前尚无有效反应网民对热点事件或话题总体态度的舆情分析系统.本文针对网民关于话题评论简单、数目众多的特点,应用HowNet和NTUSD两种资源对现有情感词典进行扩展,建立了一个新的、具有倾向程度的情感词典.基于扩展的情感词典,开发了一个半自动化网络舆情分析系统.该系统能够为用户提供更加细致、准确的评论倾向性分析结果.     

百万千瓦核电站KIT/KPS系统的改造设计与实现

总体介绍了大亚湾核电站数字化KIT/KPS系统改造项目的背景和系统主要功能,对百万千瓦核电站数字化KIT/KPS系统平台及其应用技术特点进行了总结,并详细说明了百万千瓦核电站数字化KIT/KPS系统平台技术具有开关量快速采样、冗余设计、远程监视及PUD处理等特点。最后,指出了同类系统国产化改造项目的工作重点。     

基于SWRL规则与本体相似度的语义检索模型研究

在综合分析信息检索系统现状的基础上,探讨目前信息检索系统存在的问题,深入研究基于本体的信息检索系统的关键技术,包括领域本体的建设方法、SWRL（Semantic Web Rule Language）推理规则、基于本体的查询预处理以及语义处理,并从本体概念相似度和相关度的角度论述了基于本体的语义处理技术。通过这些研究,提出了使用OWL构建领域本体,结合查询预处理以及推理扩展规则SWRL的信息检索模型。