A zone control strategy for stochastic model predictive control (2016)
- Authors:
- Autor USP: ODLOAK, DARCI - EP
- Unidade: EP
- DOI: 10.1109/ACC.2016.7526511
- Assunto: CONTROLE PREDITIVO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Washington
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: American Control Conference (ACC)
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
SANTORO, Bruno Faccini et al. A zone control strategy for stochastic model predictive control. 2016, Anais.. Washington: IEEE, 2016. Disponível em: https://doi.org/10.1109/ACC.2016.7526511. Acesso em: 15 mar. 2026. -
APA
Santoro, B. F., Ferramosca, A., Gonzalez, A. H., Odloak, D., & Ferramosca, A. (2016). A zone control strategy for stochastic model predictive control. In Proceedings. Washington: IEEE. doi:10.1109/ACC.2016.7526511 -
NLM
Santoro BF, Ferramosca A, Gonzalez AH, Odloak D, Ferramosca A. A zone control strategy for stochastic model predictive control [Internet]. Proceedings. 2016 ;[citado 2026 mar. 15 ] Available from: https://doi.org/10.1109/ACC.2016.7526511 -
Vancouver
Santoro BF, Ferramosca A, Gonzalez AH, Odloak D, Ferramosca A. A zone control strategy for stochastic model predictive control [Internet]. Proceedings. 2016 ;[citado 2026 mar. 15 ] Available from: https://doi.org/10.1109/ACC.2016.7526511 - Application of the IHMPC to and industrial process system
- Tuning the model predictive control of a crude distillation unit
- A robustly stabilizing model predictive control strategy of stable and unstable processes
- Control of the neutralization process with the generic model algorithm
- An application of metamodels for process optimization
- Integrating the RTO in the MPC: an adaptive gradient-based approach
- Model predictive control suitable for closed-loop re-identification
- Predictive control applied to heat-exchanger networks
- MPC for tracking target sets
- Closed-loop model re-identification of processes under MPC with zone control
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