CINTIA: a neuro-fuzzy real time controller for low power embedded systems

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.