The controllability and stability of wavelet networks are analyzed and proved . to reduce the modeling error in the piecewise linearization of nonlinear system , a multiple models wavelet networks identification method is proposed 針對非線性系統建模中使用分段線性化方法所帶來的未建模誤差問題,提出了多模型小波網絡系統辨識方法。
Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense , meanwhile extended kalman filter is a sub - optimal filter algorithm , which derived from the linearization of nonlinear system using taylor expansion . while the non - linearity of the system is not extreme strong , ekf can achieve approximately optimal filter effect Kf是最小均方意義下的最優濾波算法, ekf則是利用一階泰勒展開將非線性系統線性化而得到的一種次優濾波算法,在非線性不是特別嚴重的情況下, ekf有著近似最優的濾波效果。