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

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 con...

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Main Authors:	Juri Belikov, Eduard Petlenkov
Format:	Article
Language:	English
Published:	Atlantis Press 2015-04-01
Series:	International Journal of Computational Intelligence Systems
Subjects:	Nonlinear Control Systems Computational Intelligence Neural Networks Feedback Linearization
Online Access:	https://www.atlantis-press.com/article/25868595.pdf

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spelling	doaj-b8e5ae51032f4fea92c98a0a8db619b32020-11-25T02:06:04ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832015-04-018210.1080/18756891.2015.1001950NN-SANARX model based control of a multi tank liquid-level systemJuri BelikovEduard PetlenkovThis 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.https://www.atlantis-press.com/article/25868595.pdfNonlinear Control SystemsComputational IntelligenceNeural NetworksFeedback Linearization
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Juri Belikov Eduard Petlenkov
spellingShingle	Juri Belikov Eduard Petlenkov NN-SANARX model based control of a multi tank liquid-level system International Journal of Computational Intelligence Systems Nonlinear Control Systems Computational Intelligence Neural Networks Feedback Linearization
author_facet	Juri Belikov Eduard Petlenkov
author_sort	Juri Belikov
title	NN-SANARX model based control of a multi tank liquid-level system
title_short	NN-SANARX model based control of a multi tank liquid-level system
title_full	NN-SANARX model based control of a multi tank liquid-level system
title_fullStr	NN-SANARX model based control of a multi tank liquid-level system
title_full_unstemmed	NN-SANARX model based control of a multi tank liquid-level system
title_sort	nn-sanarx model based control of a multi tank liquid-level system
publisher	Atlantis Press
series	International Journal of Computational Intelligence Systems
issn	1875-6883
publishDate	2015-04-01
description	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.
topic	Nonlinear Control Systems Computational Intelligence Neural Networks Feedback Linearization
url	https://www.atlantis-press.com/article/25868595.pdf
work_keys_str_mv	AT juribelikov nnsanarxmodelbasedcontrolofamultitankliquidlevelsystem AT eduardpetlenkov nnsanarxmodelbasedcontrolofamultitankliquidlevelsystem
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NN-SANARX model based control of a multi tank liquid-level system

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