Presentation 2020-03-10
An Application of Deep Reinforcement Learning to Networked Control Under Communication Channel Constraints
Takahiro Kozuka, Kazumune Hashimoto, Toshimitsu Ushio,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we consider a networked control system under channel constrains. Our purpose is to optimize both control inputs and channel allocation. We formulate the optimization problem using a parameterized action Markov decision process (PAMDP). By using deep reinforcement learning, we propose a controller design method that can be applied to the case where the model of the dynamical system is unknown. We evaluate our proposed method by simulation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Networked control system / Deep reinforcement learning / Scheduling
Paper # NLP2019-132
Date of Issue 2020-03-02 (NLP)

Conference Information
Committee MSS / NLP
Conference Date 2020/3/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) SICE-DES, IEICE-MSS, IEICE-NLP
Chair Shigemasa Takai(Osaka Univ.) / Hiroaki Kurokawa(Tokyo Univ. of Tech.)
Vice Chair Atsuo Ozaki(Osaka Inst. of Tech.) / Kiyohisa Natsume(Kyushu Inst. of Tech.)
Secretary Atsuo Ozaki(Osaka Univ.) / Kiyohisa Natsume(Hokkaido Univ.)
Assistant Naoki Hayashi(Osaka Univ.) / Yutaka Shimada(Saitama Univ.) / Toshikaza Samura(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Application of Deep Reinforcement Learning to Networked Control Under Communication Channel Constraints
Sub Title (in English)
Keyword(1) Networked control system
Keyword(2) Deep reinforcement learning
Keyword(3) Scheduling
1st Author's Name Takahiro Kozuka
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Kazumune Hashimoto
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Toshimitsu Ushio
3rd Author's Affiliation Osaka University(Osaka Univ.)
Date 2020-03-10
Paper # NLP2019-132
Volume (vol) vol.119
Number (no) NLP-471
Page pp.pp.109-113(NLP),
#Pages 5
Date of Issue 2020-03-02 (NLP)