• A new kind of training method of RBF neural network is given, which is a method based on strong tracking filter.

    文中给出了一种新的RBF神经网络训练方法,即基于强跟踪滤波器的训练方法。

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  • When faults arise in the control systems, PI Strong Tracking filter can detect, locate and estimate the faults at the same time.

    在系统发生故障时,比例积分强跟踪滤波器不仅能够快速检测、定位故障,而且还能估计出故障的大小。

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  • Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.

    本文提出了一种基于强跟踪滤波器的自适应故障预报方法,能够对一类带时变参数的非线性系统进行故障预报。

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  • This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.

    本文提出了一种基于强跟踪滤波器的自适应故障预报方法,能够对一类带时变参数的非线性系统进行故障预报。

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  • Strong Tracking Filter (STF) for AUV propulsive system fault diagnosis and fault tolerance is used to overcome the negative affects of the nonlinearities and uncertainties of AUV motion.

    针对AUV运动严重的非线性和不确定性,对AUV推进系统的故障诊断采用了强跟踪滤波器的方法。

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  • By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.

    将强跟踪滤波理论与多传感器数据融合估计方法相结合,提出基于强跟踪滤波器的多传感器数据融合估计新算法。

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  • A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.

    针对线性随机系统提出了一种改进强跟踪卡尔曼滤波器(MSTKF)。

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  • The results of simulation indicate that this new approach has a better accuracy than the traditional Kalman filter and strong tracking Kalman filter in the field of maneuvering target tracking.

    仿真结果表明,该改进滤波器跟踪机动目标的精度高于常规卡尔曼滤波器和强跟踪卡尔曼滤波器。

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  • For satellite formation flying orbit adjustment situation, which only used radio measurement, a strong tracking unscented Kalman filter (UKF) algorithm was introduced to the simulation.

    并针对编队卫星进行轨道机动时仅采用无线电进行测量的工况,采用强跟踪离散卡尔曼滤波(ukf)算法进行仿真计算。

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  • The Kalman filter has been commonly used in target tracking, however its performance may be degraded in presence of maneuver, low robustness and strong model dependence.

    针对卡尔曼滤波器对系统模型依赖性强、鲁棒性差和跟踪机动目标能力有限的问题,提出了一种新的利用混合模糊逻辑和标准卡尔曼滤波器的联合算法。

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  • A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.

    研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。

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  • A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.

    研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。

    youdao

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