DocumentCode
2250875
Title
Design of reinforce learning control algorithm and verified in inverted pendulum
Author
Linglin, Wang ; Yongxin, Liu ; Xiaoke, Zhai
Author_Institution
College of electronic information engineering, Inner Mongolia University, Hohhot 100021, China
fYear
2015
fDate
28-30 July 2015
Firstpage
3164
Lastpage
3168
Abstract
The reinforce leaning control algorithm is studied in this paper. Two algorithms are designed using one-stage inverted pendulum as an object. One is Q-learning control algorithm, the other is also this algorithm but its parameters are optimized by BP neural network. Algorithms are verified in one-stage inverted pendulum swing up control. Experimental results show that the algorithm with BP NN optimized is more effective and stable, and this algorithm can be used in real time control.
Keywords
Algorithm design and analysis; Heuristic algorithms; Indexes; Learning (artificial intelligence); Neural networks; Process control; Training; BP network; Inverted pendulum; Learning control; Q-learning algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260128
Filename
7260128
Link To Document