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
fDate :
6/24/1905 12:00:00 AM
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;
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
DOI :
10.1109/FUZZ.2002.1004988
