Fuzzy controlling system had the lowest fluctuation and lowest band pass.
The proposed multivariable fuzzy controller is constructed with two orthogonal fuzzy control engines.
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 second controller is developed using a genetic-based fuzzy control method.
The proposed controller inherits the advantages of both the multi-model control and fuzzy control.
The method divides the controller into two parts: the fuzzy adaptive PID control and the supervisory fuzzy control.
"Fuzzy control of chaos," World Scientific.
"Fuzzy control of chaos in electronic circuits: an introductory example," NDES '98.
