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,根據辨識結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合辨識算法對空調系統進行在線辨識。
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,提出了一種rkrls算法。
Based on the general uncalibrated visual servoing algorithm , this paper presents a new visual servoing control scheme which estimates pseudo - inverse of image jacobian matrix based on recursive least square algorithm 摘要在一般無標定視覺伺服算法的基礎上,提出了一種基于遞推最小二乘法估計圖像雅可比矩陣偽逆的無標定視覺伺服算法。
In the processing of high order nonlinear differential equation , this paper presents recursive least square algorithm to speed up the compute speed and guarantee the astringent . it can be included three points from the estimate result 在高次非線性方程組求解過程中,為了取到較好的初值來保證收斂性,并為了提高計算速度,采用了最小二乘法的遞推算法。
In the rls - td ( t ) learning algorithm , the eligibility traces mechanism and the recursive least squares methods are combined together so that better convergence properties can be obtained in learning prediction problems . 2 Rls - td ( )學習算法同時結合了遞推最小二乘參數估計方法和適合度軌跡( eligibilitytraces )機制,從而能夠獲得比已有算法更好的收斂性能。
Firstly , the initial values of cluster are obtained by hough transform , which consider the linearity and continuity , then the premise and consequent parameters are identified based on fuzzy c - means and recursive least square 首先利用hough變換的方法得到聚類中心的初始值,然后通過模糊c -均值聚類法辨識前提參數,采用遞推最小二乘辨識模糊模型的結論參數。
Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented , which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi ) 本文提出了自回歸滑動平均( arma )模型的兩段參數估計算法:兩段遞推最小二乘算法( 2 - rls )和遞推最小二乘-偽逆算法( rls - pi ) 。