Title :
Design of flexible structured fuzzy controllers using genetic algorithms
Author :
Popovic, D. ; Xiong, Ning
Author_Institution :
Bremen Univ., Germany
Abstract :
Previously, optimal fuzzy logic controllers have been used successfully in a complex search space using various search approaches. The paper develops a genetic-algorithm based learning approach to implementation of a flexible structured fuzzy controller. The algorithm used facilitates simultaneous determination of control rules, of membership functions and of the structure parameters of the controller, that results in a high-performance controller, that is demonstrated on simulation examples
Keywords :
fuzzy logic; control rules; flexible structured fuzzy controllers; genetic-algorithm based learning approach; high-performance controller; membership functions; Aggregates; Algorithm design and analysis; Arithmetic; Flexible structures; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Message-oriented middleware; Optimal control;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552623
