Robust compromise optimization tuning technique for MPC (2015)
- Authors:
- USP affiliated authors: ODLOAK, DARCI - EP ; YAMASHITA, ANDRÉ SHIGUEO - EP
- Unidade: EP
- Assunto: CONTROLE PREDITIVO
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: AIChE Annual Meeting
-
ABNT
YAMASHITA, Andre Shigueo e ODLOAK, Darci. Robust compromise optimization tuning technique for MPC. 2015, Anais.. New York: AIChE, 2015. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc. Acesso em: 10 fev. 2026. -
APA
Yamashita, A. S., & Odloak, D. (2015). Robust compromise optimization tuning technique for MPC. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc -
NLM
Yamashita AS, Odloak D. Robust compromise optimization tuning technique for MPC [Internet]. Proceedings. 2015 ;[citado 2026 fev. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc -
Vancouver
Yamashita AS, Odloak D. Robust compromise optimization tuning technique for MPC [Internet]. Proceedings. 2015 ;[citado 2026 fev. 10 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2015/proceeding/paper/244l-robust-compromise-optimization-tuning-technique-mpc - Compromise optimization tuning strategy for model predictive controllers
- Application of an infinite horizon MPC to a nonlinear open-loop unstable reactor system
- Development of a multi-objective tuning technique for model predictive controllers
- Robust model predictive control of integrating time delay processes
- 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
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