Control strategy of hydraulic cylinder based on Deep Reinforcement Learning

Daniel Wyrwał; Tymoteusz Lindner; Patryk Nowak; Marcin Białek

doi:10.1109/MSM49833.2020.9202351

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Control strategy of hydraulic cylinder based on Deep Reinforcement Learning

Submit a comment

Chapter

Download BibTeX

Title

Control strategy of hydraulic cylinder based on Deep Reinforcement Learning

Authors

Daniel Wyrwał (WIM) ^{[ 1 ][ 2.9 ][ P ]}
Tymoteusz Lindner (WIM) ^{[ 1 ][ 2.9 ][ P ]}
Patryk Nowak (WIM) ^{[ 1 ][ 2.9 ][ SzD ]}
Marcin Białek (WIM) ^{[ 1 ][ 2.9 ][ SzD ]}

^{[ 1 ]} Instytut Technologii Mechanicznej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | ^{[ P ]} employee | ^{[ SzD ]} doctoral school student

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2020

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

deep reinforcement learning
hydraulic cylinder control
machine learning

DOI

10.1109/MSM49833.2020.9202351

URL

https://ieeexplore.ieee.org/document/9202351

Book

2020 International Conference Mechatronic Systems and Materials (MSM)

Presented on

15th International Conference Mechatronic Systems and Materials (MSM 2020), 1-3.07.2020, Białystok, Polska

Ministry points / chapter

20

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS