DocumentCode
1613343
Title
Research on Fuzzy Control System
Author
Xiaoliang, Zhu ; Wei, Zhang
Author_Institution
Comput. Center, Hebei United Univ., Tangshan, China
fYear
2012
Firstpage
972
Lastpage
975
Abstract
Fuzzy control is a high-level control decision based on language rule transformed from the expert\´s experience and knowledge. The fuzzy set theory and related branches are widely applied in the models of optimal control, decision-making under uncertainty, processing vague econometric or demographic data, behavioral studies, and methods of artificial intelligence. For example, there already exists a functional model of a helicopter controlled from the ground by simple "fuzzy" commands in natural language, like "up", "slowly down", "turn moderately left", "high speed", etc. "Fuzzy" wash-machines, cameras or shavers are common commercial products. Fuzzy sets also can be applied in sociology, political science, and anthropology, as well as in any field of enquiring and dealing with complex patterns.
Keywords
control system synthesis; decision making; fuzzy control; fuzzy set theory; fuzzy systems; anthropology; fuzzy control system design; fuzzy set theory; high-level control decision; language rule; political science; sociology; Algorithm design and analysis; Control systems; Educational institutions; Fuzzy control; Fuzzy sets; Presses; Process control; fuzzy control system; fuzzy controller; fuzzy relation; fuzzy set; membership function;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.258
Filename
6322547
Link To Document