Research of Feedback Correction Method Based on Neural Network

DOI

10.2991/iccasm.2012.299How to use a DOI?

Keywords

Neural network, Feedback correction, Prediction model

Abstract

In the predictive control, it is often need to obtain the model which prediction accuracy is possible higher, however, in practice controlled objects are often exist nonlinear, parameter variation, model mismatch, disturbance and other factors, there is a big error between the controlled object-based prediction model and the actual output of the object. In this paper, using neural network to improve prediction model accuracy, at the same time feedback correction method is used to compensate for the lack of neural network prediction model, simulation results show that this method has better accuracy than conventional feedback correction.

Copyright

© 2012, 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  - Biying Zhou
PY  - 2012/08
DA  - 2012/08
TI  - Research of Feedback Correction Method Based on Neural Network
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1173
EP  - 1176
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.299
DO  - 10.2991/iccasm.2012.299
ID  - Zhou2012/08
ER  -