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系统工程与电子技术（英文版）
系统工程与电子技术（英文版）

施荣

双月刊

1004-4132

tougaoxinxiang@263.net

010-68388406

100854

北京142信箱32分箱

系统工程与电子技术（英文版）/Journal Journal of Systems Engineering and ElectronicsCSCDCSTPCD北大核心EISCI
查看更多>>本刊是《中国科学引文数据库》来源期刊，被美国科学引文索引（SCIE）、美国工程索引（EI）和英国科学文摘（SA）等多家国内、外著名检索系统收录。它是面向高科技开发和应用的跨学科期刊，以传播新技术、促进学术交流为宗旨，坚持深度与广度、理论与应用相结合的方针，努力反映系统工程与电子技术两大领域的最新成就，报道的主要内容包括：系统科学、军事系统分析、飞行器控制、雷达、光电探测技术、信息获取与处理、运筹学管理与决策技术等。
正式出版
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    Missile guidance law design based on free-time convergent error dynamics

    LIU YuanheXIE NianhaoLI KeboLIANG Yan'gang...
    1315-1325页
    查看更多>>摘要：To solve the finite-time error-tracking problem in mis-sile guidance,this paper presents a unified design approach through error dynamics and free-time convergence theory.The proposed approach is initiated by establishing a desired model for free-time convergent error dynamics,characterized by its independence from initial conditions and guidance parameters,and adjustable convergence time.This foundation facilitates the derivation of specific guidance laws that integrate constraints such as leading angle,impact angle,and impact time.The theo-retical framework of this study elucidates the nuances and syn-ergies between the proposed guidance laws and existing methodologies.Empirical evaluations through simulation com-parisons underscore the enhanced accuracy and adaptability of the proposed laws.
      原文链接:
    • 万方数据
    • 维普

    A process monitoring method for autoregressive-dynamic inner total latent structure projection

    CHEN YalinKONG XiangyuLUO Jiayu
    1326-1336页
    查看更多>>摘要：As a dynamic projection to latent structures(PLS)method with a good output prediction ability,dynamic inner PLS(DiPLS)is widely used in the prediction of key performance indi-cators.However,due to the oblique decomposition of the input space by DiPLS,there are false alarms in the actual industrial process during fault detection.To address the above problems,a dynamic modeling method based on autoregressive-dynamic inner total PLS(AR-DiTPLS)is proposed.The method first uses the regression relation matrix to decompose the input space orthogonally,which reduces useless information for the predic-tion output in the quality-related dynamic subspace.Then,a vector autoregressive model(VAR)is constructed for the predic-tion score to separate dynamic information and static informa-tion.Based on the VAR model,appropriate statistical indicators are further constructed for online monitoring,which reduces the occurrence of false alarms.The effectiveness of the method is verified by a Tennessee-Eastman industrial simulation process and a three-phase flow system.
      原文链接:
    • 万方数据
    • 维普

    INSTRUCTIONS FOR AUTHORS

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      原文链接:
    • 万方数据
    • 维普