Modell - based soft-sensor design for on-line estimation of the biological activity in activated sludge wastewater treatment plants (2001)
- Authors:
- USP affiliated authors: PARK, SONG WON - EP ; GARCIA, CLAUDIO - EP
- Unidade: EP
- Subjects: POLUIÇÃO DA ÁGUA (PREVENÇÃO E CONTROLE); TRATAMENTO DE ÁGUAS RESIDUÁRIAS; LODO ATIVADO
- Language: Inglês
- Imprenta:
-
ABNT
ZANABRIA SOTOMAYOR, Oscar Alberto e PARK, Song Won e GARCIA, Claudio. Modell - based soft-sensor design for on-line estimation of the biological activity in activated sludge wastewater treatment plants. . São Paulo: EPEL/USP. . Acesso em: 20 abr. 2024. , 2001 -
APA
Zanabria Sotomayor, O. A., Park, S. W., & Garcia, C. (2001). Modell - based soft-sensor design for on-line estimation of the biological activity in activated sludge wastewater treatment plants. São Paulo: EPEL/USP. -
NLM
Zanabria Sotomayor OA, Park SW, Garcia C. Modell - based soft-sensor design for on-line estimation of the biological activity in activated sludge wastewater treatment plants. 2001 ;[citado 2024 abr. 20 ] -
Vancouver
Zanabria Sotomayor OA, Park SW, Garcia C. Modell - based soft-sensor design for on-line estimation of the biological activity in activated sludge wastewater treatment plants. 2001 ;[citado 2024 abr. 20 ] - Nitrate concentration-based control of a pre-denitrifying activated sludge system
- A model reference for evaluating control strategies in activated sludge wastewater treatment plants
- Recursive identification of activated sludge wastewater treatment plants
- Multivariable identification of an activated sludge process with subspace-based algorithms
- Model reduction and identification of wastewater treatment plants: a subspace approach
- Subspace identification methods applied to activated sludge processes: a performance comparison study
- Soft-sensor development for on-line bioactivities estimation in activated sludge process
- Soft-sensor development for on-line bioactivities estimation in activated sludge process
- MPC control of a predenitrification plant using linear subspace models
- Multivariable identification of an activated sludge process with subspace-based algorithms
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