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Premise-part adaptation laws for adaptive fuzzy control and its application to vehicle speed control
By: Park, T.J.; Kim, S.W.; Lee, G.D.;
2001 / IEEE / 0-7803-7061-9
This item was taken from the IEEE Conference ' Premise-part adaptation laws for adaptive fuzzy control and its application to vehicle speed control ' In adaptive fuzzy control, approximation accuracy of the designed fuzzy system plays a key role in the overall system performance. Up to now, a linear parameterization method has been used to derive suitable adaptive laws, even in the adaptation of premise-part membership functions. However, the premise-part adaptation schemes with linear parameterization have some fundamental limitation due to the inadequacy of the gradient algorithm for general nonlinearly parameterized functions. In the paper, a new adaptive fuzzy control method with adaptation both of the premise-part and consequence-part membership functions is presented. The proposed adaptive fuzzy control scheme does not suffer from the problems appearing in conventional premise-part adaptation by using a nongradient strategy. The global stability as well as performance enhancement is given via simulations and application results of vehicle speed control.
Nonlinear Control Systems
Premise-part Adaptation Laws
Adaptive Fuzzy Control
Vehicle Speed Control
Consequence-part Membership Functions
Sliding Mode Control