The algorithms of rigorous recursive least square 严格的最小二乘递推算法
Flood forecasting model based on improved recursive least square method 基于递推最小二乘改进算法的洪水预报模型研究
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算法处理在线辨识问题,根据辨识结果直接进行反馈预测控制的设计。
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 采用了带遗忘因子的递推最小二乘和基于零频率的模型匹配的联合辨识算法对空调系统进行在线辨识。
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 )对递推最小二乘进行非线性的kernel变换,并采用正则化技术改写了目标函数,提出了一种rkrls算法。