A new method for the design of linear time-variant recursive digital filters is proposed in this paper.
提出了设计线性时变递归数字滤波器的一种新方法。
A novel recursive subspace method is developed based on fixed length moving window (FLMW) projection approximation used for estimating the modal parameter of linear time-varying structural system.
给出了一个新的用于线性时变参数结构系统模态参数识别的基于固定长度平移窗投影估计的递推子空间方法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
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