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本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法.首先利用输出残差给出了卡尔曼滤波增益马尔可夫参数估计,并且得到了卡尔曼滤波增益估计,然后解决了自适应状态估计问题.最后以仿真实例说明了此方法的有效性.
In this paper, we propose an efficient adaptive residual state estimation method for linear stationary systems. Firstly, the Kalman filter gain Markov parameter estimation is given by using the output residuals, and the Kalman filter gain estimation is obtained. Then, the adaptive state estimation problem is solved. Finally, a simulation example shows the effectiveness of this method.