Title :
Introduction of information in fuzzy control systems
Author :
Han, Jia-Yuan ; Mcmurray, Vincent E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
In fuzzy control theory, the system to be controlled is to be given a response that is a close approximation to what is needed for system stabilization. However, a loss of system information will occur which reduces the accuracy of the response. An approach to FLC (Fuzzy Logic Controller) design which will introduce more information about the system is proposed called the Multiple-Variable FLC. It uses multiple states directly in determining a feedback response via the super-position principle which makes for a highly versatile FLC
Keywords :
feedback; fuzzy control; multivariable control systems; stability; transfer functions; feedback response; fuzzy control systems; fuzzy control theory; multiple states; multiple-variable FLC; super-position principle; system stabilization; Automatic control; Control systems; Control theory; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; State feedback; Transfer functions;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343010
