Evaluating flexible fuzzy controllers via evolution strategies
This paper applies evolution strategies to evaluate a class of flexible fuzzy controllers. Various components in fuzzy controllers, including generalized T-norms, soft T-norm, BADD defuzzification and scaling factors are investigated. Simulations are carried out on linear and nonlinear systems and some interesting conclusions are obtained. These conclusions are further explained with an application example of vehicle control. It is hoped that they will be helpful for design of fuzzy controllers with better control performance. (C) 1999 Elsevier Science B.V. All rights reserved.
fuzzy controller evolution strategies badd defuzzification soft t-norms