Technical Sessions

ThurB7

J010: Adaptive and Learning Control for Data-driven Society I

Main Session Room

Oral,

Virtual-IV,

13:45~15:15

Organizer: Yoshihiro Ohnishi (Ehime University, Japan), Toru Yamamoto (Hiroshima University, Japan)

Chair: Prof. Yoshihiro Ohnishi (Ehime University, Japan)

ThurB7-1

13:45~14:00

Dual-rate controller design using temporal redundancy

Takao Sato*, Shinpei Ogawa, and Natsuki Kawaguchi (University of Hyogo, Japan)

Short Abstract Paper

ThurB7-2

14:00~14:15

A response predctionable data-driven I-PD gain update method

Yoshihiro Matsui* (Fukuoka Institute of Technology, Japan), Hideki Ayano (National Institute of Technology, Tokyo College, Japan), Shiro Masuda (Tokyo Metropolitan University, Japan), Kazushi Nakano (The University of Electro-Communications, Japan)

Short Abstract Paper

ThurB7-3

14:15~14:30

Design of a database-driven kansei feedback control system using EEG data

Takuya Kinoshita*, Shiho Murakami, Toru Yamamoto, and Maro G. Machizawa (Hiroshima University, Japan), Kiyokazu Tanaka (Kobelco Construction Machinery Co., Ltd., Japan)

Short Abstract Paper

ThurB7-4

14:30~14:45

ASPR based adaptive anti-windup control for adaptive output feedback control with PFC and adaptive feedforward input

Yongjie Yu, Sadaaki Kunimatsu, and Ikuro Mizumoto* (Kumamoto University, Japan)

Short Abstract Paper

ThurB7-5

14:45~15:00

Design of a practical database-driven PID control system considering state variables

Daisuke Toyota* (Hiroshima University, Japan), Koutarou Nakano and Kiyoshi Ochi (The Japan Steel Works, Japan), Takuya Kinoshita, Shin Wakitani, and Toru Yamamoto (Hiroshima University, Japan)

Short Abstract Paper

ThurB7-6

15:00~15:15

Design of a database-driven PID controller for unknown time-delay systems

Kei Hiraoka, Kazushige Koiwai, and Toru Yamamoto* (Hiroshima University, Japan)

Short Abstract Paper

Member	Registrant Of ASCC 2022 Invited
Email
Password