Alejandro Gabriel Marchetti

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Related publications (31)

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Process Optimization via Constraints Adaptation

Dominique Bonvin, Benoît Chachuat, Alejandro Gabriel Marchetti

In the framework of real-time optimization, measurement-based schemes have been developed to deal with plant-model mismatch and process variations. These schemes differ in how the feedback information from the plant is used to adapt the inputs. A recent id ...

2008

Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Martand Singhal

In the context of real-time optimization, modifier-adaptation schemes use estimates of the plant gradients to achieve plant optimality despite plant-model mismatch. Plant feasibility is guaranteed upon convergence, but not at the successive operating point ...

Pergamon-Elsevier Science Ltd2017

Measurement-based Run-to-run Optimization of a Batch Reaction-distillation system

Dominique Bonvin, Alejandro Gabriel Marchetti

Recently, measurement-based optimization schemes have been developed to deal with uncertainty and process variations. One of the methods therein, labeled NCO tracking, relies on appropriate parameterization of the input profiles and adjusts the correspondi ...

2005

Economic plant-wide control design with backoff estimations using internal model control

Alejandro Gabriel Marchetti

Economic optimal operation typically involves operating as close as possible to the active constraints. However, in the presence of disturbances it is necessary to back-off from the constraints in order to avoid violating them. The backoff approach aims at ...

Elsevier Sci Ltd2016

Validation du modèle de la solution pour l’optimisation d’une colonne de distillation réactive

Dominique Bonvin, Alejandro Gabriel Marchetti

2005

Real-Time Optimization via Adaptation and Control of the Constraints

Dominique Bonvin, Benoît Chachuat, Alejandro Gabriel Marchetti

In the framework of real-time optimization, measurements are used to compensate for effects of uncertainty. The main approach uses measurements to update the parameters of a process model. In contrast, the constraint-adaptation scheme uses the measurements ...

2008

Modifier Adaptation for Real-Time Optimization -- Methods and Applications

Dominique Bonvin, Grégory François, Timm Faulwasser, Alejandro Gabriel Marchetti

This paper presents an overview of the recent developments of modifier-adaptationschemes for real-time optimization of uncertain processes. These schemes have the ability to reach plant optimality upon convergence despite the presence of structural plant-m ...

MDPI2016

Validation of a Solution Model for the Optimization of a Binary Batch Distillation Column

Dominique Bonvin, Alejandro Gabriel Marchetti, Carsten Welz

For the optimization of dynamic systems, it is customary to use measurements to combat the effect of uncertainty. In this context, an approach that consists of tracking the necessary conditions of optimality is gaining in popularity. The approach relies st ...

2005

Improved Directional Derivatives for Modifier-Adaptation Schemes

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Martand Singhal

The modifier-adaptation methodology enables real-time optimization (RTO) of plant operation in the presence of considerable plant-model mismatch. It requires the estimation of plant gradients. Obtaining these gradients is expensive as it involves potential ...

2017

Real-time Optimization with Estimation of Experimental Gradient

Dominique Bonvin, Benoît Chachuat, Alejandro Gabriel Marchetti

For good performance in practice, real-time optimization schemes need to be able to deal with the inevitable model-mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach uses experime ...

2009

Optimal Load Sharing of Parallel Compressors via Modifier Adaptation

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Predrag Milosavljevic

2016