Discrete fuzzy control loops based on a motor neuro-fuzzy model. Pushing too far a continuous logic?

This paper deals with the abilities of a neuro-fuzzy model for a low inertia servomotor, obtained with ANFIS, for controlling the position in a servosystem. For the considered motor and whole of the servosystem, the author has a large amount of off-line and on-line experience so that the study is based on several comparisons between the performance of the system with the standard motor model and its neuro-fuzzy model in control strategies based on a standard look-up-table fuzzy control and an adaptive fuzzy one. The results are useful for a good tuning of the knowledge base for different fuzzy control algorithms.