Title :
Fuzzy control is often better than manual control of the very experts whose knowledge it uses: an explanation
Author :
Kreinovich, V. ; Lea, R. ; Fuentes, O. ; Lokshin, A.
Author_Institution :
Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
Abstract :
A mathematical explanation as to why fuzzy control is smoother and more stable than control by experts whose experience was used to design the fuzzy control is presented. The analysis indicates that fuzzy control is always continuous and exhibits better performance, even in complicated control situations
Keywords :
fuzzy control; stability; control smoothness; manual control; mathematical explanation; stability; Application software; Computer science; Computer simulation; Fuzzy control; Fuzzy set theory; Human factors; NASA; Space missions; Testing; Velocity control;
Conference_Titel :
Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2905-3
DOI :
10.1109/TAI.1992.246357
