International Journal of Computational Intelligence Systems

Volume 8, Issue 2, April 2015, Pages 265 - 277

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

Authors
Juri Belikov, Eduard Petlenkov
Corresponding Author
Juri Belikov
Received 20 March 2014, Accepted 15 October 2014, Available Online 1 April 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 2
Pages
265 - 277
Publication Date
2015/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2015.1001950How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.1080/18756891.2015.1001950
ID  - Belikov2015
ER  -