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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。
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    An extended state observer with adjustable bandwidth for measurement noise

    ZHANG ShihuaQI XiaohuiYANG Sen
    233-241页
    查看更多>>摘要：In this paper,a bandwidth-adjustable extended state observer(ABESO)is proposed for the systems with measure-ment noise.It is known that increasing the bandwidth of the observer improves the tracking speed but tolerates noise,which conflicts with observation accuracy.Therefore,we introduce a bandwidth scaling factor such that ABESO is formulated to a 2-degree-of-freedom system.The observer gain is determined and the bandwidth scaling factor adjusts the bandwidth according to the tracking error.When the tracking error decreases,the band-width decreases to suppress the noise,otherwise the band-width does not change.It is proven that the error dynamics are bounded and converge in finite time.The relationship between the upper bound of the estimation error and the scaling factor is given.When the scaling factor is less than 1,the ABESO has higher estimation accuracy than the linear extended state observer(LESO).Simulations of an uncertain nonlinear system with compound disturbances show that the proposed ABESO can successfully estimate the total disturbance in noisy environ-ments.The mean error of total disturbance of ABESO is 15.28%lower than that of LESO.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

    WASIM MuhammadALI AhsanCHOUDHRY Mohammad AhmadSHAIKH Inam Ul Hasan...
    242-258页
    查看更多>>摘要：The robotic airship can provide a promising aero-static platform for many potential applications.These applica-tions require a precise autonomous trajectory tracking control for airship.Airship has a nonlinear and uncertain dynamics.It is prone to wind disturbances that offer a challenge for a trajectory tracking control design.This paper addresses the airship trajec-tory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertain-ties and wind disturbances is opted against distributed parame-ters.It uses extended Kalman filter(EKF)for uncertainty and dis-turbance estimation.The estimated parameters are used by sli-ding mode controller(SMC)for ultimate control of airship trajec-tory tracking.This comprehensive algorithm,EKF based SMC(ESMC),is used as a robust solution to track airship trajectory.The proposed estimator provides the estimates of wind distur-bances as well as model uncertainty due to the mass matrix vari-ations and aerodynamic model inaccuracies.The stability and convergence of the proposed method are investigated using the Lyapunov stability analysis.The simulation results show that the proposed method efficiently tracks the desired trajectory.The method solves the stability,convergence,and chattering prob-lem of SMC under model uncertainties and wind disturbances.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    INSTRUCTIONS FOR AUTHORS

    封3页
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Special Section on Radar Detection and Interference Suppression

    封2页
      原文链接:
    • NETL
    • NSTL
    • 万方数据