A neuro-genetic control scheme application for industrial R3 workspaces

Authors:
E. Irigoyen;M. Larrea;J. Valera;V. Gómez;F. Artaza
Affiliations:
Department of Systems Engineering and Automatic Control, Computational Intelligence Group & Intelligent Control Research Group, University of the Basque Country (UPV/EHU), ETSI, Bilbao;Department of Systems Engineering and Automatic Control, Computational Intelligence Group & Intelligent Control Research Group, University of the Basque Country (UPV/EHU), ETSI, Bilbao;Department of Systems Engineering and Automatic Control, Computational Intelligence Group & Intelligent Control Research Group, University of the Basque Country (UPV/EHU), ETSI, Bilbao;Department of Systems Engineering and Automatic Control, Computational Intelligence Group & Intelligent Control Research Group, University of the Basque Country (UPV/EHU), ETSI, Bilbao;Department of Systems Engineering and Automatic Control, Computational Intelligence Group & Intelligent Control Research Group, University of the Basque Country (UPV/EHU), ETSI, Bilbao
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Year:
2010

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Abstract

This work presents a neuro-genetic control scheme for a R3 workspace application The solution is based on a Multi Objective Genetic Algorithm reference generator and an Adaptive Predictive Neural Network Controller Crane position control is presented as an application of the proposed control scheme.