Neuro-fuzzy controller design via modeling human operator actions

Authors:
Seniz Ertugrul;N. Aydin Hizal
Affiliations:
Istanbul Technical University, Mechanical Engineering, Inonu Cad. 34439 Gumussuyu Istanbul, Turkey;Istanbul Technical University, Mechanical Engineering, Inonu Cad. 34439 Gumussuyu Istanbul, Turkey
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2005

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Abstract

This paper reports research results on the designing of an intelligent controller by means of modeling human operator actions based on a Man-Machine Interaction Computer Experiment. Different disturbance signals are applied to the single and the double-integration systems under human operator control to collect data for training the Adaptive Network Based Fuzzy Inference-System as the Neuro-Fuzzy controller. The Neuro-Fuzzy system was able to replace the human operator even in the case of a random disturbance signal applied to the double integrator system.