2019
DOI: 10.1016/j.ifacol.2019.06.035
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Economics Optimizing Control with Model Mismatch Based on Modifier Adaptation

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Cited by 8 publications
(5 citation statements)
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“…FHOCP (20)(21)(22)(23)(24)(25)(26)27) k Algorithm 1 Offset-free eMPC algorithm using Broyden's update.…”
Section: Of-empc Algorithm Using Broyden's Updatementioning
confidence: 99%
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“…FHOCP (20)(21)(22)(23)(24)(25)(26)27) k Algorithm 1 Offset-free eMPC algorithm using Broyden's update.…”
Section: Of-empc Algorithm Using Broyden's Updatementioning
confidence: 99%
“…These methods are the ones that better replicate the concept of steadiness of RTO iterations. On the other hand, it might be advantageous with slow processes to use transient data and estimate steady-state gradients on the go [22][23][24]. In this case, we speak of dynamic perturbation methods, which exhibit a compromise between convergence speed and accuracy.…”
Section: Introductionmentioning
confidence: 99%
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“…To guarantee the excitation needed, a random signal was included during a period of time, increasing the convergence time of the algorithm. Then, Hernández and Engell (2019) presented another formulation of an economic controller based on MA where the corrections are made in the nominal dynamic plant model instead of the objective function. They identified linear dynamic models to approximate the true plant input-output map and then calculate the plant gradients.…”
Section: Introductionmentioning
confidence: 99%
“…Then, Hernández and Engell (2019) As can be seen from the aforementioned papers, the investigation of how to correctly estimate the process gradients/modifiers to be used in a framework for…”
Section: Unification Rto + Mpc + Mamentioning
confidence: 99%