NN-SANARX model based control of a multi tank liquid-level system

DOI

10.1080/18756891.2015.1001950How to use a DOI?

Keywords

Nonlinear Control Systems, Computational Intelligence, Neural Networks, Feedback Linearization

Abstract

This paper is devoted to application of neural network with a specific restricted connectivity structure for identification and control of a real process. Parameters of the identified model are used to design a controller based on dynamic feedback linearization. The designed neural network based controller is verified on mathematical model within MATLAB/Simulink environment and applied to the real-time control of a laboratory plant. Water tank system was chosen as a case study to illustrate applicability of the proposed approach. Several experimental results as well as comparison with some alternative methods are provided.

Copyright

© 2017, 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  - JOUR
AU  - Juri Belikov
AU  - Eduard Petlenkov
PY  - 2015
DA  - 2015/04/01
TI  - NN-SANARX model based control of a multi tank liquid-level system
JO  - International Journal of Computational Intelligence Systems
SP  - 265
EP  - 277
VL  - 8
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1001950
DO  - 10.1080/18756891.2015.1001950
ID  - Belikov2015
ER  -