Sentence examples for fuzzy control from inspiring English sources

The proposed fuzzy control scheme outperforms classical active noise controllers.

Students may choose among several techniques to experience the behaviour of advanced controller action: adaptive control, GMG control, fuzzy control, self tuning fuzzy control, neural control, neuro-fuzzy control.

This type controller has all advantages of the fuzzy control algorithm and modal approach.

The fuzzy control system includes an adaptive model identifier and controller.

The proposed controller inherits the advantages of both the multi-model control and fuzzy control.

In technical applications, fuzzy control refers to programs or algorithms using fuzzy logic to allow machines to make decisions based on the practical knowledge of a human operator.

Fuzzy control, on the other hand, does not require an exact theoretical model but only the empirical knowledge of an experienced operator.

The defuzzification process converts fuzzy control decision into non-fuzzy, control signals.

Simulation results suggest that the autonomous fuzzy control system outperforms classic fuzzy control.

For detailed information on fuzzy control see Driankov et al. 1993.

Both conventional and adaptive fuzzy control can be designed.