Neuro-genetic Pid autotuning

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 us...

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Bibliographic Details
Main Author: Lima, João (author)
Other Authors: Azevedo, Ana Beatriz da Piedade de (author), Duarte, N. M. (author), Fonseca, C. M. (author), Ruano, Antonio (author), Fleming, P. J. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Neural networks
Genetic algorithms
Autotuning
Online Access:http://hdl.handle.net/10400.1/2315
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2315
Description
Summary: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.

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