The Research onPID Control Ways to Improve RBF Neural Network

DOI

10.2991/iccse-15.2015.15How to use a DOI?

Keywords

PID control ways,RBF neural network

Abstract

PID control has been a hot topic and it is a control technology which is widely used in industrial control process. In this paper we researchon PID controller structure and algorithm which based on RBF neural network. It is difficult to determine the clustering radius for the traditional RBF neural network algorithm with the shortcomings of poor stability and low learning efficiency.We improved the nearest clustering algorithm and combine it with the gradient descent to make the mixed learning algorithms and build neural network structure, while adjustthe network parameters and improved PID control method based on RBF neural network. At last we make the verification for its effectiveness and advantages by simulation experiments.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuyu Gao
PY  - 2015/07
DA  - 2015/07
TI  - The Research onPID Control Ways to Improve RBF Neural Network
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 76
EP  - 81
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.15
DO  - 10.2991/iccse-15.2015.15
ID  - Gao2015/07
ER  -