MODEL PREDICTIVE CONTROL AND MODEL PREDICTIVE Q-LEARNING FOR STRUCTURAL VIBRATION CONTROL

被引:0
|
作者
Phan, Minh Q. [1 ]
Azad, Seyed Mandi B. [1 ]
机构
[1] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA
来源
ASTRODYNAMICS 2017, PTS I-IV | 2018年 / 162卷
关键词
HORIZON OPTIMAL-CONTROL; SYSTEMS; DESIGN;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper describes the relationship between Model Predictive Control (MPC) and Q-Learning, and formulates an algorithm called Model Predictive Q-Learning that integrates the two concepts. As a unifying theme, the paper explains how the Linear Quadratic Regulator (LQR), MPC, Q-Learning, and Model Predictive Q-Learning solve the same structural vibration control problem, and how the Q-Learning approach naturally handles both continuous and discrete-action inputs. The relationship between Model Predictive Q-Learning and standard Q-Learning is analogous to the relationship between MPC and LQR.
引用
收藏
页码:17 / 36
页数:20
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