ヤノウ　アキラ   Akira Yanou   矢納　陽    所属   川崎医療福祉大学  医療技術学部 診療放射線技術学科    職種   教授
言語種別	英語
発表タイトル	Strongly Stable System and Disturbance Reduction without Coprime Factorization
会議名	2022 International Conference on Advanced Mechatronic Systems
学会区分	国際学会及び海外の学会
発表形式	口頭
講演区分	特別講演・招待講演など
発表者・共同発表者	Akira Yanou
発表年月日	2022/12/18
開催地 （都市, 国名）	Toyama, Japan
概要	In linear control systems, it is important to construct a strongly stable system from the viewpoint of safety. In previous studies, we constructed strongly stable systems using coprime factorization and investigated their properties. For example, if the plant to be controlled is stable, a stable open-loop system can be constructed even if the feedback signal is interrupted. In this talk, we mainly show how to construct a strongly stable system without using coprime factorization, and also discuss how the degrees of freedom used in strongly stabilizing can be used to reduce disturbances.