Journal of Robotics, Networking and Artificial Life

Volume 5, Issue 4, March 2019, Pages 257 - 260

Design of a Data-Driven Controller with Evaluating Controller Performance

Authors
Takuya Kinoshita*, Toru Yamamoto
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Hiroshima, Japan
*Corresponding author. Email: kinoshita-takuya@hiroshima-u.ac.jp
Corresponding Author
Takuya Kinoshita
Received 10 November 2018, Accepted 21 November 2018, Available Online 30 March 2019.
DOI
10.2991/jrnal.k.190220.011How to use a DOI?
Keywords
PID controller; controller assessment; data-driven controller; least squares method
Abstract

Data-driven controller systems have been proposed to achieve the desired control performance without using any system identifications. The effectiveness of these control schemes has been shown through experimental results. For time-variant and nonlinear systems, it is important to evaluate the controller performance and redesign controller when the performance is poor. According to the proposed scheme, the controller performance calculator and controller design are integrated using only input and output data.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
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/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
5 - 4
Pages
257 - 260
Publication Date
2019/03/30
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.190220.011How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
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/).

Cite this article

TY  - JOUR
AU  - Takuya Kinoshita
AU  - Toru Yamamoto
PY  - 2019
DA  - 2019/03/30
TI  - Design of a Data-Driven Controller with Evaluating Controller Performance
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 257
EP  - 260
VL  - 5
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.190220.011
DO  - 10.2991/jrnal.k.190220.011
ID  - Kinoshita2019
ER  -