DocumentCode
1640086
Title
Multi-layered multi-agent architecture with fuzzy application in electrical power systems
Author
Khosla, R. ; Li, Q.
Author_Institution
Sch. of Bus., La Trobe Univ., Melbourne, Vic., Australia
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
209
Lastpage
214
Abstract
Intelligent agents (or software agents) today can be seen as providing support to practitioners and problem solvers at three levels, namely, clerical, tool and task levels. In particular, we outline computational level based agent definitions of fuzzy neural agents. We show the application of these agents in determining faulty components in a electrical power system network
Keywords
fault diagnosis; fuzzy neural nets; multi-agent systems; power engineering computing; software agents; component based agents; component fault diagnosis; distributed architecture; electrical power system; fuzzy neural networks; intelligent agents; multiple agent architecture; software agents; Application software; Computer architecture; Fuzzy systems; Intelligent agent; Neural networks; Power engineering computing; Power system modeling; Power systems; Problem-solving; Software agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1004988
Filename
1004988
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