Fifth International Conference on Hybrid Intelligent Systems (HIS'05) A Proposal of a Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, with application to the Start-Up Control of a Distillation Column Rio de Janeiro, Brazil December 06-December 09 ISBN: 0-7695-2457-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.15
This paper presents the development of a fuzzy predictive controller that can be applied to the control of multi-stage processes. Recurrent neural networks are used to identify each stage of the controlled process, and then provide predictions about the stage behaviour. These predictions are used by a set of fuzzy controllers, in order to accomplish several control procedures needed to start-up a distillation column from chemical industry. Genetic algorithms (GA?s) are used to automatically tune the controllers.
Citation:
Joao Alberto Fabro, Flavio Jr. Neves, L. V. R. Arruda, "A Proposal of a Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, with application to the Start-Up Control of a Distillation Column," his, pp.539-541, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||