然后将干扰模型中的“干扰项”作为状态变量增广到原系统的状态空间中;接着基于增广的状态空间模型设计线性卡尔曼滤波器实现对干扰状态的估计;
Then, augment the system state with the disturbance vector and linear Kalman filter was used to estimate the disturbance and its effect on the system output.
然后将干扰模型中的“干扰项”作为状态变量增广到原系统的状态空间中;接着基于增广的状态空间模型设计线性卡尔曼滤波器实现对干扰状态的估计;
Then, augment the system state with the disturbance vector and linear Kalman filter was used to estimate the disturbance and its effect on the system output.
应用推荐