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

Cintia, a neuro-fuzzy real-time controller based on pulse stream computation techniques, is designed for applications in low-power embedded systems. The system mixes two approaches: neuro-fuzzy controllers and finite-state automata. We implement the former by means of a custom neural chip, the latter as sequential code on a traditional microcontroller. Cintia demonstrates 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.<
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