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Volume 8, Issue 3, December 2021, Pages 229 - 233
Design of a Nonlinear Generalized Predictive Controller based on Database-Driven Approach
Authors
Zhe Guan1, *, Toru Yamamoto2
1KOBELCO Construction Machinery Dream-Driven Co-Creation Research Center, Hiroshima University, Higashi-Hiroshima 739-8527, Japan
2Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-8527, Japan
*Corresponding author. Email: guanzhe@hiroshima-u.ac.jp
Corresponding Author
Zhe Guan
Received 14 November 2020, Accepted 22 August 2021, Available Online 11 October 2021.
- DOI
- 10.2991/jrnal.k.210922.015How to use a DOI?
- Keywords
- GPC; database-driven approach; nonlinear systems
- Abstract
This paper presents a Generalized Predictive Control (GPC) design scheme based on database-driven approach for nonlinear systems. In industrial systems, lots of controlled plants with unknown time-delay and strong nonlinearity, are difficult to be handled in terms of control performance. The databased-driven approach has been attracted attention to tackle non-linearity issue without system information. On the other hand, GPC is considered in cases where the time-delay is unknown. The proposed scheme is validated through a numerical simulation.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- 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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TY - JOUR AU - Zhe Guan AU - Toru Yamamoto PY - 2021 DA - 2021/10/11 TI - Design of a Nonlinear Generalized Predictive Controller based on Database-Driven Approach JO - Journal of Robotics, Networking and Artificial Life SP - 229 EP - 233 VL - 8 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.210922.015 DO - 10.2991/jrnal.k.210922.015 ID - Guan2021 ER -