DocumentCode
1031078
Title
Self-organising fuzzy logic controller
Author
Zhang, B.S. ; Edmunds, J.M.
Author_Institution
Control Syst. Centre, Univ. of Manchester Inst. of Sci. & Technol., UK
Volume
139
Issue
5
fYear
1992
fDate
9/1/1992 12:00:00 AM
Firstpage
460
Lastpage
464
Abstract
A frequently used learning algorithm for self-organising fuzzy logic control has been analysed and found to be inadequate for some applications. The key problem is how to gain the credit value for control rule modification. A new type of learning algorithm is proposed. Some supervision rules are given to secure rule modifications. A new approach is derived to calculate the credit value for the rule generation and modification. Simulation studies for controlling different process models and different model parameters are demonstrated.
Keywords
adaptive control; fuzzy logic; learning systems; self-adjusting systems; adaptive control; control rule modification; credit value; learning algorithm; rule generation; self-adjusting systems; self-organising fuzzy logic control; supervision rules;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings D
Publisher
iet
ISSN
0143-7054
Type
jour
Filename
165478
Link To Document