OS3-8 Design of Neural Network PID Controller Based on E-FRIT and Online Learning

Title:	OS3-8 Design of Neural Network PID Controller Based on E-FRIT and Online Learning
Publication:	ICAROB2018
Volume:	23
Pages:	334-337
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2018.OS3-8
Author(s):	Kento Kinoshita, Shuichi Ohno, Shin Wakitani
Publication Date:	February 2, 2018
Keywords:	PID control, E-FRIT, neural network, data-driven, online learning
Abstract:	PID controllers have been widely used in industrial world. When a controlled object has a nonlinear characteristic, a good control result is not always obtained with fixed PID gains. To overcome the problem, a design method of a nonlinear PID controller using a neural network has been proposed. In this paper, an online learning method of the proposed controller to attenuate the effect of the system change of the controlled object has been presented.
PDF File:	https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS3/OS3-8.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/