Evaluating flexible fuzzy controllers via evolution strategies

This paper applies evolution strategies to evaluate a class of flexible fuz zy controllers. Various components in fuzzy controllers, including generali zed T-norms, soft T-norm, BADD defuzzification and scaling factors are inve stigated. Simulations are carried out on linear and nonlinear systems and s ome interesting conclusions are obtained. These conclusions are further exp lained with an application example of vehicle control. It is hoped that the y will be helpful for design of fuzzy controllers with better control perfo rmance. (C) 1999 Elsevier Science B.V. All rights reserved.