Study of infinite horizon MPC implementation with non-minimal state space feedback in a propylene production unit using dynamic process simulation (2013)
- Authors:
- USP affiliated authors: ODLOAK, DARCI - EP ; CAPRON, BRUNO DIDIER OLIVIER - EP ; CALVO, ALDO IGNACIO HINOJOSA - EP
- Unidade: EP
- Assunto: CONTROLE PREDITIVO
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: AIChE Annual Meeting
-
ABNT
HINOJOSA CALVO, Aldo Ignacio e CAPRON, Bruno Didier Olivier e ODLOAK, Darci. Study of infinite horizon MPC implementation with non-minimal state space feedback in a propylene production unit using dynamic process simulation. 2013, Anais.. New York: AIChE, 2013. Disponível em: https://www.aiche.org/conferences/aiche-annual-meeting/2013/proceeding/paper/202b-study-infinite-horizon-mpc-implementation-non-minimal-state-space-feedback-propylene-production-1. Acesso em: 14 fev. 2026. -
APA
Hinojosa Calvo, A. I., Capron, B. D. O., & Odloak, D. (2013). Study of infinite horizon MPC implementation with non-minimal state space feedback in a propylene production unit using dynamic process simulation. In Proceedings. New York: AIChE. Recuperado de https://www.aiche.org/conferences/aiche-annual-meeting/2013/proceeding/paper/202b-study-infinite-horizon-mpc-implementation-non-minimal-state-space-feedback-propylene-production-1 -
NLM
Hinojosa Calvo AI, Capron BDO, Odloak D. Study of infinite horizon MPC implementation with non-minimal state space feedback in a propylene production unit using dynamic process simulation [Internet]. Proceedings. 2013 ;[citado 2026 fev. 14 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2013/proceeding/paper/202b-study-infinite-horizon-mpc-implementation-non-minimal-state-space-feedback-propylene-production-1 -
Vancouver
Hinojosa Calvo AI, Capron BDO, Odloak D. Study of infinite horizon MPC implementation with non-minimal state space feedback in a propylene production unit using dynamic process simulation [Internet]. Proceedings. 2013 ;[citado 2026 fev. 14 ] Available from: https://www.aiche.org/conferences/aiche-annual-meeting/2013/proceeding/paper/202b-study-infinite-horizon-mpc-implementation-non-minimal-state-space-feedback-propylene-production-1 - Realigned model predictive control of a propylene distillation column
- Study of the implementation of a robust MPC in a propylene/propane splitter using rigorous dynamic simulation
- Using Dynsim® to study the implementation of advanced control in a propylene/propane splitter
- LMI-based multi-model predictive control of an industrial C3/C4 splitter
- An extended Linear Quadratic Regulator with zone control and input targets
- LMI-based multi-model predictive control of an industrial C3/C4 splitter
- A combined Lqr-MPC robust strategy with input saturation for the control of a deisobutanizer distillation column
- Linear matrix inequality-based robust model predictive control for time-delayed systems
- Integration of real time optimization (RTO) and advanced control (MPC) of an industrial propylene/propane splitter
- LMI-based Model Predictive Control of uncertain stable and unstable systems based on a realigned state space representation
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
