Catherine Cadet

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This paper presents a neural network identification scheme to estimate substrate, biomass and dissolved oxygen concentrations in an activated sludge wastewater treatment. This scheme is based on a discrete-time high order neural network (RHONN) trained on-line with an extended Kalman filter (EKF)-based algorithm. Then, the identification scheme is(More)
In this paper, we explore the combination of two control strategies for activated sludge wastewater treatment plants. From the plant configuration proposed by the Benchmark of the European group COST 624, first a fuzzy supervisory control which adequate the parameters of two local controllers is described and applied, then it is combined with a control(More)
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