基于强跟踪滤波器的非线性系统参数辨识方法

Identification of non-linear system parameters based on strong tracking filter

提出了一种基于强跟踪滤波器(STF)的非线性系统参数辨识方法,解决了非线性系统的参数辨识问题。避免了利用扩展卡尔曼滤波器(EKF)进行状态估计时,系统趋于稳态而状态突变使得滤波器丧失跟踪能力的问题。最后通过算例比较了本方法与EKF方法。

A method for identification of non - linear system parameters based on Strong Tracking Filter （STF） is presented. When using Extended Kalman Filter （EKF） for state estimation, the system tends to be stable but the state break may lead to the filter to lose its tracking capability. The problem can be avoided by using our identification method. The method is compared with the EKF method through an example.