T.J. Park

Publications (1)0 Total impact

• Conference Proceeding: Premise-part adaptation laws for adaptive fuzzy control and its application to vehicle speed control

  G.D. Lee, S.W. Kim, T.J. Park
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  ABSTRACT: 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
  Decision and Control, 2001. Proceedings of the 40th IEEE Conference on; 02/2001