Romanian Journal of Information Science and Technology (ROMJIST)

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ROMJIST is a publication of Romanian Academy,
Section for Information Science and Technology

Editor – in – Chief:

Academician Dan Dascalu

Secretariate (office):
Adriana Apostol
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)

Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)

Technical editor
of the on-line version:
Lucian Milea (University POLITEHNICA of Bucharest)

Sponsors:
• National Institute for R & D
in Microtechnologies
(IMT Bucharest), www.imt.ro
• Association for Generic
and Industrial Technologies (ASTEGI), www.astegi.ro

ROMJIST Volume 23, No. T, 2020, pp. T57-T77, Paper no. 674/2020
 

Febina CHRISTUDAS, Angeline VIJULA DHANRAJ
System Identification Using Long Short Term Memory Recurrent Neural Networks for Real Time Conical Tank System

ABSTRACT: An essential prerequisite for designing model-based controllers is an accurate mathematical model. System Identification is a classical approach for getting a mathematical model from experimental data. Neural Networks are extensively deployed for the identification of systems as they are efficient function approximators. This paper proposes an intelligent technique for modelling a nonlinear Conical Tank System (CTS) using neural networks. Long Short Term Memory Recurrent Neural Networks (LSTM-RNN) are used for modelling the real- time CTS using input-output data. It is shown that LSTM-RNN models are effective in modelling in comparison with empirical models.

KEYWORDS: Artificial neural networks, LSTM, nonlinear system, predictive models, RNN, system identification

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