Title :
CINTIA: a neuro-fuzzy real time controller for low power embedded systems
Author :
Reyneri, L.M. ; Chiaberge, M. ; Zocca, L.
Author_Institution :
Dipartimento di Ingegneria dell´´Inf., Pisa Univ., Italy
Abstract :
This paper describes CINTIA, a neuro-fuzzy real-time controller based on pulse stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two different approaches, namely neuro-fuzzy controllers and finite state automata. The former are implemented by means of a custom neural chip (manufactured by ES2), while the latter are implemented as sequential code on a traditional microcontroller. The proposed system is used to demonstrate the advantages of mixing the two approaches and the feasibility of embedded neuro-fuzzy control systems. A low power single chip version is also under design
Keywords :
neurocontrollers; CINTIA; custom neural chip; finite state automata; low power embedded systems; microcontroller; neuro-fuzzy real time controller; pulse stream computation techniques; Automata; Automatic control; Control systems; Embedded system; Fuzzy systems; Neural network hardware; Neural networks; Nonlinear control systems; Real time systems; Switches;
Conference_Titel :
Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
Conference_Location :
Turin
Print_ISBN :
0-8186-6710-9
DOI :
10.1109/ICMNN.1994.593735
