A neural network controller


Autoria(s): Ruano, A. E.; Jones, D. I.; Fleming, P. J.
Data(s)

12/02/2013

12/02/2013

1991

28/01/2013

Identificador

Ruano, A. E. B.; Jones, D. I; Fleming, P. J. A Neural Network Controller, Trabalho apresentado em IFAC Workshop on Algorithms and Architectures for Real-Time Control, In IFAC Workshop on Algorithms and Architectures for Real-Time Control, Bangor, 1991.

AUT: ARU00698;

http://hdl.handle.net/10400.1/2321

Idioma(s)

eng

Direitos

restrictedAccess

Palavras-Chave #Pid autotuning #Parallel processing #Neural networks #Adaptive control #Multilayer perceptrons #OCCAM
Tipo

conferenceObject

Resumo

Proportional, Integral and Derivative (PID) regulators are standard building blocks for industrial automation. The popularity of these regulators comes from their rebust performance in a wide range of operating conditions, and also from their functional simplicity, which makes them suitable for manual tuning.