Alejandro Gabriel Marchetti

Cette personne n’est plus à l’EPFL

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Publications associées (31)

Real-Time Optimization Based on Adaptation of Surrogate Models

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

Recently, different real-time optimization (RTO) schemes that guarantee feasibility of all RTO iterates and monotonic convergence to the optimal plant operating point have been proposed. However, simulations reveal that these schemes converge very slowly t ...

Elsevier Science Bv2016

Time-Optimal Path-Following Operation in the Presence of Uncertainty

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

Path-following tasks, which refer to dynamic motion planning along pre-specified geometric references, are frequently encountered in applications such as milling, robot-supported measurements, and trajectory planning for autonomous vehicles. Different conv ...

Ieee2016

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

Optimal Load Sharing of Parallel Compressors via Modifier Adaptation

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

2016

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

On the Use of Transient Information for Static Real-Time Optimization

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti

Optimal operation of chemical processes is key for meeting productivity, quality, safety and environmental objectives. Both model-based and data-driven schemes are used to compute optimal operating conditions [1]: - The model-based techniques are intu ...

2015

Modifier Adaptation for Constrained Closed-Loop Systems

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti, Sean Costello

The steady advance of computational methods makes model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. An iterative optimization method called "modifier adaptation" ov ...

2014

Robust Real-Time Optimization of a Solid Oxide Fuel Cell Stack

Dominique Bonvin, Jan Van Herle, Alejandro Gabriel Marchetti, Benoît Chachuat, Arata Nakajo, Zacharie Wuillemin, Leonidas Tsikonis

On-line control and optimization can improve the eﬃciency of fuel cell systems whilst simultaneously ensuring that the operation remains within a safe region. Also, fuel cells are subject to frequent variations in their power demand. This paper investigate ...

2011

A Dual Modifier-Adaptation Approach for Real-Time Optimization

Dominique Bonvin, Alejandro Gabriel Marchetti, Benoît Chachuat

For good performance in practice, real-time optimization schemes need to be able to deal with the inevitable plant-model mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach does no ...

Elsevier2010

Modifier-Adaptation Methodology for Real-Time Optimization

Dominique Bonvin, Alejandro Gabriel Marchetti

The ability of a model-based real-time optimization scheme to converge to the plant optimum relies on the ability of the underlying process model to predict the plant's necessary conditions of optimality (NCO). These include the values and gradients of the ...

2009

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