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This paper investigates the use of Artificial Neural Networks (ANN), more precisely Multi-Layer Perceptrons (MLP), as an alternative to the weighting function μ in a Multi-Model approach type Takagi Sugeno (TS) for an Activated Sludge Reactor. The reduced bio-reactor activated sludge ASM1 model, which describes the biological degradation of an activated sludge reactor, is designed based on several...
This paper investigates the use of Dynamic Model Control (DMC) on an Activated Sludge Reactor. The reduced bio-reactor activated sludge ASM1 model, which describes the biological degradation of an activate sludge reactor, is designed based on several simplifications, as a Takagi Sugeno fuzzy model (TS). The TS model structure is based on a set of linear sub models, covering the process input-output...
This paper investigates the use of Generalized Predictive Control (GPC) on an Activated Sludge Reactor. The reduced bio-reactor activated sludge ASM1 model, which describes the biological degradation of an activate sludge reactor, is designed based on several simplifications, as a Takagi Sugeno fuzzy model (TS). The TS model structure is based on a set of linear sub models, covering the process input-output...
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