Title :
Study of an adaptive fuzzy controller based on the adaptation of relative rule weights
Author :
Y.A. Sekercioglu;A. Pitsillides;G.K. Egan
Author_Institution :
Sch. of Electr. Eng., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
Abstract :
An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled by using fuzzy relational equations in the form of "if...then..." rules. This article gives the details of an adaptive method based on Lyapunov synthesis approach to optimize the combination of fuzzy relational equations by modifying the relative rule weights.
Keywords :
"Programmable control","Adaptive control","Fuzzy control","Humans","Fuzzy sets","Equations","Control systems","Control system synthesis","Automatic control","Aerospace control"
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.396920
