人工神经元网络在系统辨识中的应用

本文将人工神经元网络的非线性性和信息的分布性用于非线性静态模型的辨识.对化 工生产中的缩聚反应过程的辨识结果表明,用人工神经元网络来辨识非线性静态模型是可行 的,从而为系统辨识提供了一条新的途径.     

电子认证与授权管理标准体系研究

以国际上在标识、鉴别与授权标准方面已有的工作为基础，提出了我国电子认证与授权管理标准体系框架。     

塔里木盆地塔中地区火成岩体识别与预测技术

塔里木盆地塔中地区火成岩发育,纵向上从二叠系至前震旦系主要发育有4期,严重地影响了该区构造圈闭落实的可靠性以及油气藏后期的保存条件,也是塔中18、21、22等井钻探失败的主要原因。为降低钻探风险,在该区进行了火成岩体识别与预测技术攻关,总结出了7种方法,它们的相互配合,可以较为有效地预测火成岩分布以及火成岩对下伏构造的影响,指导该区勘探;通过中1井的钻探,已经取得了较好的效果。      

Temperature Oscillation Calorimetry: Robustness analysis of different algorithms for the evaluation of the heat transfer coefficient

Applicability of different temperature oscillation calorimetry algorithms, previously proposed in the literature, for the evaluation of the heat transfer coefficient during the course of the reaction, is analysed by referring to the experimental data from a methyl methacrylate polymerisation reactor.Results are coincident in the nominal case (no errors on data), while differences appear in the elaboration of real data. The effect of uncertainty in the experimental data has been simulated in terms of error on the amplitude and on the phase of reactor and jacket temperature profiles.This approach allows to indicate algorithms having the best robustness properties and to give an explanation of phase errors in terms of a lumped parameter which accounts for different phenomena, not included in the basic hypotheses of the method. Based on this observation, a procedure to eliminate this source of errors from experimental data is proposed for the more general algorithm presented to handle oscillating temperature profiles generated by different techniques.     

储层识别模式的研究

用数学方法建立气测井油气储层识别模式,以解决录井中实时软件在判别依据少的条件下,及时识别油气显示假异常的难题。该判别式经实用,正到率达90％。     

XC型车号自动识别系统在轨道衡的应用

介绍了XC型车号自动识别系统的工作原理及在轨道衡的应用,解决了长期以来轨道衡路用车车号和自重依靠人工抄录易出错及劳动强度大的问题。     

一个安全有效的身份鉴别协议与对应的数字签名方案

本文利用二元一次不定方程和Schnorr身份鉴别协议，构造出一个新的身份鉴别协议，该协议在RSA问题和离散对数问题是难解的假设下是安全的，同时给出了所对应的数字签名方案。     

TRANSFER FUNCTION MODEL ORDER AND PARAMETER ESTIMATION

Abstract. A distributed lag model with a rational transfer function is considered. We have demonstrated that the C -table can be used to determine the orders of the rational transfer function and the Padé table can be used to estimate the parameters of an identifiable transfer function. In case the model is not uniquely identified, the C -table reduces possible competing models to only a few for further examination. Padé approximant gives consistent initial values for possibly more efficient iterative procedures to estimate the coefficients of the identified model. Some asymptotic results on the estimation of the C -table and the Padé table are given. A few examples are presented to demonstrate the effectiveness of the method.     

基于ARX模型的压电智能结构振动预测控制

采用预测控制法对压电智能结构的振动主动控制进行了实验研究，通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。实验结果验证了该方法在压电智能结构振动主动控制中的可行性和有效性。     

CDMA时变色散信道的两级盲辨识算法

本文通过对时变信道的扩展函数在时频域进行正则采样，得到了CDMA时变系统的离散正则模型。针对该模型提出了一种具有较低运算量的两级盲辨识算法。为避免两级算法产生的误差传播效应，文章将理想SIMO模型等效为加性噪声模型来处理。与基展开模型方法相比，该算法具有不需利用观测数据的高阶统计量估计展开基频率的优点。文章通过仿真验证了该算法是可行的。