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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
Description
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.
Related Topics
Nonlinear Control Systems
Road Vehicles
Velocity Control
Performance Enhancement
Premise-part Adaptation Laws
Adaptive Fuzzy Control
Vehicle Speed Control
Consequence-part Membership Functions
Nongradient Strategy
Global Stability
Programmable Control
Adaptive Control
Fuzzy Control
Vehicles
Velocity Control
Fuzzy Systems
Function Approximation
Application Software
System Performance
Sliding Mode Control
Adaptive Control
Fuzzy Control
Asymptotic Stability
Engineering
System Performance