Authors
Yuki Nakatani, Takuya Kinoshita*, Toru Yamamoto
Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Higashi-Hiroshima, Hiroshima 739-8527, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Takuya Kinoshita
Received 15 November 2020, Accepted 18 June 2021, Available Online 9 October 2021.
DOI
https://doi.org/10.2991/jrnal.k.210922.004How to use a DOI?
Keywords
Data-driven control; extended output; predicted data; offline tuning
Abstract
In recent years, data-driven control schemes that do not require system modeling have been actively studied. These schemes use only a set of experimental data to design a controller that realizes the desired reference output offline. However, it is necessary to consider the output response and the input response since there is a limit of the actuator performance in actual machines. This paper proposes a new data-driven control scheme that can predict the input/output responses of an unknown system in offline using a set of operating data. The effectiveness of the proposed scheme is numerically verified by a simulation example.
Copyright
© 2021 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).