DocumentCode :
1656201
Title :
Fuzzy and neural network controller
Author :
Dote, Yasuhik
Author_Institution :
Muroran Inst. of Technol., Japan
fYear :
1990
Firstpage :
1314
Abstract :
There are many applications of fuzzy control to practical systems such as electric appliances and factory automation in Japan. On the other hand, applications of neural networks to military and industrial fields attract a lot of researchers in the United States. It is suggested that the two approaches be combined and applied to control problems. The use of both methods is recommended for the construction of intelligent controllers (for example, autonomous or self-organizing controllers). Intelligent controllers are summarized. Fuzzy control is illustrated in a tutorial fashion by a simple example. The design and practical aspects of fuzzy control are examined. Neural networks applied to control problems are discussed. By combining the two methodologies, self-organizing controller can be constructed
Keywords :
artificial intelligence; control system synthesis; fuzzy logic; neural nets; autonomous controllers; factory automation; fuzzy control; intelligent controllers; military automation; neural network controller; self-organizing controllers; Automatic control; Control systems; Expert systems; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Intelligent actuators; Intelligent sensors; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
Type :
conf
DOI :
10.1109/IECON.1990.149328
Filename :
149328
Link To Document :
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