DocumentCode :
301660
Title :
Mixing fuzzy, neural and genetic algorithms in an integrated design environment for intelligent controllers
Author :
Chiaberge, M. ; Bene, G. Di ; Pascoli, S. Di ; Lazzerini, B. ; Maggiore, A. ; Reyneri, L.M.
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
Volume :
4
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
2988
Abstract :
In this paper the concept of hierarchical hybrid fuzzy controllers (HHFCs) is introduced. By means of HHFCs, the development of neuro-fuzzy controllers for complex plants can be simplified, just by dividing the controller into blocks, each of which solves a particular subset of control tasks
Keywords :
control system synthesis; feedforward neural nets; fuzzy control; fuzzy logic; fuzzy set theory; genetic algorithms; intelligent control; neurocontrollers; fuzzy logic; fuzzy set theory; genetic algorithms; hierarchical hybrid fuzzy controllers; intelligent control; neural networks; weighted radial basis functions; Algorithm design and analysis; Artificial neural networks; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Humans; Neural network hardware; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.538239
Filename :
538239
Link To Document :
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