On the design of a neuro-fuzzy controller — application to the control of a bioreactor

Abstract

This paper presents a new methodological approach for the synthesis of a neuro-fuzzy controller, using an on-line learning procedure. A simple algebraic formulation of a Sugeno fuzzy inference system that ensures a coherent universe of discourse, making easy its interpretation by a human being, is proposed and implemented in the case of the control of a bioreactor, which is considered as a complex non linear process.

Keywords

Fuzzy logic / neuro-fuzzy control / learning law / inverse neural model / bioreactor / parametric perturbations

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