The algorithms of rigorous recursive least square 嚴格的最小二乘遞推算法
Flood forecasting model based on improved recursive least square method 基于遞推最小二乘改進算法的洪水預報模型研究
The real - time system identification is realized by recursive least square ( rls ) method , then the control law is determined based on the identified results 采用rls算法處理在線辨識問題,根據(jù)辨識結(jié)果直接進行反饋預測控制的設計。
A kind of arithmetic of recursive least squares ( rls ) method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online 采用了帶遺忘因子的遞推最小二乘和基于零頻率的模型匹配的聯(lián)合辨識算法對空調(diào)系統(tǒng)進行在線辨識。
3 ) this thesis proposed a regularized kernel recursive least square ( rkrls ) algorithm . the coefficients and error of rkrls model are gotten and the generalization ability is analyzed 3 )對遞推最小二乘進行非線性的kernel變換,并采用正則化技術改寫了目標函數(shù),提出了一種rkrls算法。