DocumentCode
1599410
Title
A neuro-fuzzy systems for control applications
Author
Berardi, F. ; Chiaberge, M. ; Miranda, E. ; Reyneri, L.M.
Author_Institution
Dipartimento di Elettronica, Politecnico di Torino, Italy
fYear
1996
Firstpage
121
Lastpage
128
Abstract
This paper describes DANIELA a neuro-fuzzy system for control applications. The system is based on a custom neural device that can implement either multilayer perceptrons, radial basis functions or fuzzy paradigms. The system implements intelligent control algorithms mixing neuro-fuzzy paradigms with finite state automata and is used to control a walking hexapod
Keywords
computerised control; feedforward neural nets; finite automata; fuzzy control; fuzzy neural nets; multilayer perceptrons; neurocontrollers; DANIELA; control applications; finite state automata; intelligent control algorithms; multilayer perceptrons; neuro-fuzzy paradigms; neuro-fuzzy system; walking hexapod; Automatic control; Control systems; Fuzzy neural networks; Fuzzy systems; Intelligent control; Legged locomotion; Microcontrollers; Neural networks; Nonlinear control systems; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuro-Fuzzy Systems, 1996. AT'96., International Symposium on
Conference_Location
Lausanne
Print_ISBN
0-7803-3367-5
Type
conf
DOI
10.1109/ISNFS.1996.603829
Filename
603829
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