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Publicação
A novel technique for controller tuning
Orientador(es)
Resumo(s)
Neural networks and genetic algorithms have been in the past successfully applied, separately, to controller tuning problems. In this paper we purpose to combine its joint
use, by exploiting the nonlinear mapping capabilities of neural networks to model
objective functions, and use them to supply their values to a genetic algorithm which
performs on-line minimization. Simulation results show that this is a valid approach,
offering desired properties for on-line use such as a dramatic reduction in computation
time and avoiding the need of perturbing the closed-loop operation.
Descrição
Palavras-chave
Neural Networks Genetic Algorithms PID Autotuning
Contexto Educativo
Citação
Ruano, A. E.; Lima, J. M. G.; Azevedo, A. B.; Duarte, N. M.; Fleming, P. J. A Novel Technique for Controller Tuning, Trabalho apresentado em Symposium on Intelligent Systems in Control and Measurement (Intcom’98), In Proceedings of the Symposium on Intelligent Systems in Control and Measurement (Intcom’98), Miskolc, 1999.