On-line lower-order modeling via neural networks.
ISA Trans
; 42(4): 577-93, 2003 Oct.
Article
em En
| MEDLINE
| ID: mdl-14582882
ABSTRACT
This paper presents a novel method to determine the parameters of a first-order plus dead-time model using neural networks. The outputs of the neural networks are the gain, dominant time constant, and apparent time delay. By combining this algorithm with a conventional PI or PID controller, we also present an adaptive controller which requires very little a priori knowledge about the plant under control. The simplicity of the scheme for real-time control provides a new approach for implementing neural network applications for a variety of on-line industrial control problems. Simulation and experimental results demonstrate the feasibility and adaptive property of the proposed scheme.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Biotecnologia
/
Redes Neurais de Computação
/
Retroalimentação
/
Modelos Teóricos
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
Idioma:
En
Revista:
ISA Trans
Ano de publicação:
2003
Tipo de documento:
Article