Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.
標(biāo)簽：
application
covariance
Knowledge
essential
上傳時(shí)間：
2014-01-19
上傳用戶(hù)：litianchu
