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Orientador(es)
Resumo(s)
A new PID autotuning technique, involving neural networks and genetic algorithms is proposed. The validity of this approach is shown, through the results of several experiments. Special attention is given to the off-line training of one of the auto-tuner models, the criterion networks. Procedures used to obtain good training data are described.
Descrição
Palavras-chave
Neural networks Genetic algorithms Autotuning
Contexto Educativo
Citação
Lima, J. M. G.; Azevedo, A. B.; Duarte, N. M.; Fonseca, C. M.; Ruano, A. E.; Fleming, P. J. Neuro-Genetic Pid Autotuning, Trabalho apresentado em 2001 European Control Conference (EEC’2001), In 2001 European Control Conference (EEC’2001), Porto, 2001.
