A neuro-fuzzy systems for control applications
F. Berardi, Marcello Chiaberge, Eduardo Reck Miranda, Leonardo Maria Reyneri · 2002
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.