摘要：In this paper, we apply the method of control theory to machine learning, proposing a new multiplication update algorithm combined with adaptive control theory, we name it MRAC-MU algorithm. A new parameter updating law is obtained according to Lyapunov stability theorem. Using the same object function as the exponential gradient (EG) algorithm, which is the key online learning method to multiplicative updates algorithm, Experiments are used to validate the proposed algorithm has a better result than EG algorithm in prediction accuracy.

关键字：online learning Lyapunov function adaptive control theory MRAC-MU algorithm

ISSN号：9781479951994

卷、期、页：页: 1543-1548

发表日期：2018-01-01

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）,CPCI-S（科技会议录索引）

发表期刊名称：2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

参与作者：Kamel, Mohamed S.

通讯作者：张思思,王鑫

第一作者：刘建伟,左信

论文类型：会议论文

论文概要：张思思,刘建伟,左信,王鑫,Kamel, Mohamed S.，MRAC-MU Online Learning，2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018，2018，页: 1543-1548

论文题目：MRAC-MU Online Learning