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Kalman Filter based on adaptive quantized Information: When dealing with decentralized estimation problem of dynamic stochastic process in a sensor network,it is imp...; Xianfeng Tang

Traffic Flow Forecasting Based on Fuzzy-Neural: Fuzzy systems can be excellently used to represent human knowledge.Traffic technology is a science where this ...; Huang Hongqiong 1,Tang Tianhao2 1.College of Information Engineering,Shanghai maritime University,Shanghai 200135,P.R.China 2.College of Logistics Engineering,Shanghai maritime University,Shanghai 200135,P.R.China; 关键词：NEURAL-FUZZY FCMAC; 文献传递

A Multi-dimension Predictor Based on ANN and Its Application: This paper presents a multi-dimension predictive model PDRNN based on the diagonal recurrent neural networks w...; Wang Tianzhen,Tang Tianhao Institute of Electrical & Control Engineering,Shanghai Maritime University,1550 Pudong Road,Shanghai,P.R.China; 文献传递

A New Fast Rate Fault Detection Approach for Multirate Sampled-Data Systems: An Observer-based fault detection direct design method for multirate sampled-data systems (MSD) is investigate...; Aibing Qiu College of Automation Engineering NUAA Nanjing China Chenglin Wen Institute of Information and Control Hangzhou Dianzi University Hangzhou China Bin Jiang College of Automation Engineering NUAA Nanjing China; 关键词：OBSERVER

交通参数预测的自适应优化算法研究被引量：1: 2008年; 将最优梯度算法应用于指数平滑模型,通过构造优选并自动生成的最佳平滑参数使模型得以优化,增强了指数平滑模型对时间序列的适应能力,较好地解决了指数平滑预测中,平滑参数靠检验确定且为静态、平滑初值难以确定并导致预测偏差等问题。通过实例,与其他指数平滑预测算法相比,验证了该算法的有效性。; 黄洪琼邬勤文; 关键词：指数平滑法

基于小波的自适应主元分析在过程监测中的应用被引量：1: 2008年; 用传统主元分析(PCA)建立的过程统计模型是时不变的,而实际的工业过程却具有慢时变的特性。文中针对慢时变引起的过程运行中的误报警问题,给出了一种小波分析与自适应主元分析相结合的混合方法,用小波去噪后再用自适应主元分析递归更新主元模型。利用此方法进行的在线过程监测的计算机仿真结果表明,该方法不仅能大大减少虚警点,还提高了故障检测的准确性。; 范少荟文成林; 关键词：小波分析故障检测

港口吞吐量预测的动态平滑参数新模型被引量：6: 2006年; 港口吞吐量预测是港口总体布局规划中重要的前期工作。将最优梯度算法应用于指数平滑模型,通过构造优选并自动生成的最佳平滑参数,使模型得以优化,增强了指数平滑模型对时间序列的适应能力。较好地解决了指数平滑预测中,平滑参数靠检验确定且为静态,平滑初值难以确定并导致预测偏差等问题。以上海港口为例,与其它指数平滑预测算法比较,验证了该算法的有效性和实用性。; 黄洪琼王天真; 关键词：水路运输港口吞吐量

带有全局反馈的最优异步航迹融合算法(英文): 异步融合是多传感器信息融合中的关键问题之一。其中,采用分布式融合结构的异步航迹融合在异步融合中得到了最广泛的研究。在现有的一些异步航迹融合算法中,融合中心的有关信息没有被反馈到局部传感器中去,故局部传感器不能利用这些全局...; 刘双剑葛泉波文成林; 文献传递

一种数据驱动的多故障诊断方法研究被引量：7: 2008年; 结合统计建模与物理建模的指定元分析(DCA)有效地避免了主元分析的模式复合问题,从而能用来进行多故障诊断。针对非正交指定模式的处理问题,基于模式分组思想给出一种逐步DCA多故障诊断法,把常见变化模式分为几个正交模式组,然后关于各组指定模式,分别对所得观测数据阵或上一步DCA所得残差矩阵做DCA,逐步诊断各组中的故障是否发生。针对包含6种共存故障的观测数据的仿真研究表明,逐步DCA多故障诊断算法可有效地进行多故障诊断,且无需人为解释诊断结果的物理意义。; 周福娜汤天浩文成林; 关键词：多故障 DCA 故障诊断

A NEW HYBRID FORECASTING ALGORITHM AND ITS APPLICATION IN ECONOMIC ANALYSIS: 2007年; There exists a great deal of periodic non-stationary processes in natural,social and eco- nomical phenomenon.It is very important to realize the dynamic analysis and real-time forecast within a period.In this letter,a wavelet-Kalman hybrid estimation and forecasting algorithm based on step-by-step filtering with the real-time and recursion property is put forward.It combines the advantages of Kalman filter and wavelet transform.Utilizing the information provided by multi- sensor effectively,this algorithm can realize not only real-time tracking and dynamic multi-step fore- casting within a period,but also the dynamic forecasting between periods,and it has a great value to the system decision-making.Simulation results show that this algorithm is valuable.; Li Shejiao Lv Bing Wen Chuanbo; 关键词：MULTI-SENSOR

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国家自然科学基金(60572051)