DocumentCode
1991401
Title
Application of reinforcement learning in control system development
Author
Vichugov, V.N. ; Tsapko, G.P. ; Tsapko, S.G.
Author_Institution
Tomsk Polytech. Univ., Russia
fYear
2005
fDate
26 June-2 July 2005
Firstpage
732
Lastpage
733
Abstract
This paper presents application of reinforcement learning (RL) in development of automated control systems. This method was successfully applied in development of control system that controls a pendulum. Advantages and disadvantages of RL control systems are described.
Keywords
control system synthesis; discrete time systems; learning (artificial intelligence); nonlinear control systems; optimal control; pendulums; automated control systems; control system development; pendulum control; reinforcement learning; Automatic control; Control systems; Control theory; Learning systems; Optimal control; Signal mapping; Supervised learning; Torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN
0-7803-8943-3
Type
conf
DOI
10.1109/KORUS.2005.1507888
Filename
1507888
Link To Document