Comparative study of neural networks used in modeling and control of dynamic systems

Hocine Tiliouine

Comparative study of neural networks used in modeling and control of dynamic systems

Abstract

In this paper, a diagonal recurrent neural network that contains two recurrent weights in the hidden layer is proposed for the designing of a synchronous generator control system. To demonstrate the superiority of the proposed neural network, a comparative study of performances, with two other neural network (1_DRNN) and the proposed second-order diagonal recurrent neural network (2_DRNN). Moreover, to confirm the superiority of the proposed 2_DRNN, the results obtained with this network were also compared with those of the IEEE recommended convevtional excitation control system (CECS).

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Hocine Tiliouine dr inż.

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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: Przegląd Elektrotechniczny pages 104 - 109,
ISSN: 0033-2097
Language:: English
Publication year:: 2011
Bibliographic description:: Tiliouine H.: Comparative study of neural networks used in modeling and control of dynamic systems// Przegląd Elektrotechniczny. -, nr. nr 7 (2011), s.104-109
Verified by:: Gdańsk University of Technology