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Related publications (227)

Page 4 of 12

A feasible-side globally convergent modifier-adaptation scheme

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti

In the context of static real-time optimization (RTO) of uncertain plants, the standard modifier-adaptation scheme consists in adding first-order correction terms to the cost and constraint functions of a model based optimization problem. If the algorithm ...

Elsevier Sci Ltd2017

Sequential model identification of reaction systems-The missing path between the incremental and simultaneous approaches

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Modeling chemical reaction systems is an important but complex task. The identified kinetic model must be able to explain all the underlying rate processes such as chemical reactions and heat and mass transfers. Traditionally, the modeling task is carried ...

2019

Framework for explicit drift correction in multivariate calibration models

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

Latent-variable calibrations using principal component regression and partial least-squares regression are often compromised by drift such as systematic disturbances and offsets. This paper presents a two-step framework that facilitates the evaluation and ...

2010

Adaptation strategies for tracking constraints under plant-model mismatch

Dominique Bonvin, Timm Faulwasser, Martand Singhal

Optimal operating conditions for a process plant are typically obtained via model based optimization. However, due to modeling errors, the operating conditions found are often sub-optimal or, worse, they can violate critical process constraints. Hence, mod ...

ELSEVIER SCIENCE BV2018

How Important is the Detection of Changes in Active Constraints in Real-Time Optimization?

Dominique Bonvin, Saurabh Anand Deshpande

In real-time optimization, enforcing the constraints that need to be active is important for optimality. In fact, it has been established in the context of parametric variations that, if these constraints are not satisfied, the optimality loss would be O($ ...

2011

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dominique Bonvin, Predrag Milosavljevic, René Uwe Schneider

The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...

2016

Distributed modifier-adaptation schemes for the real-time optimisation of uncertain interconnected systems

Dominique Bonvin, Predrag Milosavljevic, René Uwe Schneider

This paper proposes a set of distributed real-time optimisation schemes for the steady-state optimisation of parametrically and structurally uncertain systems that are composed of multiple interconnected subsystems. These schemes are derived in the framewo ...

TAYLOR & FRANCIS LTD2019

Real-time optimization of an experimental solid-oxide fuel-cell system

Dominique Bonvin, Jan Van Herle, Christophe Salzmann, Zacharie Wuillemin, Alejandro Gabriel Marchetti

There still exists a large gap between simulation work and industrial applications in the context of control and optimization of solid-oxide fuel-cell (SOFC) systems. In an effort to bridge this gap, this study describes the experimental implementation of ...

ELSEVIER SCIENCE BV2019

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

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

For lumped homogeneous reaction systems, this paper presents a kinetic model identification scheme that provides maximum-likelihood parameter estimates and guarantees convergence to global optimality. The use of the extent-based incremental approach allows ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Estimation technique for offset-free economic MPC based on modifier adaptation

Dominique Bonvin

Economic model predictive control formulations that combine online optimizing control with offset-free methodologies such as modifier adaptation have been proposed recently. These new algorithms are able to achieve asymptotic optimal performance despite th ...

ELSEVIER2020

Real-Time Optimization for Kites

Dominique Bonvin, Grégory François, Sean Costello

Over the past decade, a large number of academics and start-ups have devoted them- selves to developing kites, or airplanes on tethers, as a renewable energy source. Determining the trajectories the kite should follow is a modeling and optimization challen ...

2013

Data-driven model reference control with asymptotically guaranteed stability

Dominique Bonvin, Alireza Karimi

This paper presents a data-driven controller tuning method that includes a set of constraints for ensuring closed-loop stability. The approach requires a single experiment and can also be applied to nonminimum-phase or unstable systems. The tuning scheme u ...

Wiley-Blackwell2011

Identification of reaction and mass-transfer rates in gas-liquid reaction systems

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

This paper deals with the identification of reaction and mass-transfer rates from concentrations measured in gas-liquid reaction systems. It is assumed that the reactions take place in the liquid bulk only. The identification proceeds in two steps: (i) est ...

IIT-Madras2010

Control of the Toycopter using a Flat Approximation

Dominique Bonvin, Philippe Müllhaupt

This paper considers a helicopter-like setup called the Toycopter. Its particularities reside first in the fact that the toycopter motion is constrained to remain on a sphere and second in the use of a variable rotational speed of the propellers to vary th ...

2008

Selective Input Adaptation in Parametric Optimal Control Problems with Path Constraints

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

This paper is concerned with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. For optimal control problems having mixed control-state constraints, two sets of directions can be ...

2010

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

A quotient method for designing nonlinear controllers

Dominique Bonvin, Philippe Müllhaupt

An algorithmic method is proposed to design stabilizing control laws for a class of nonlinear systems that comprises single-input feedback-linearizable systems and a particular set of single-input non feedback-linearizable systems. The method proceeds iter ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Incremental Identification of Reaction Systems - A Comparison between Rate-based and Extent-based Approaches

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

An incremental identification approach for determining the kinetics of homogeneous reaction systems from transient concentration measurements has been developed in previous work (Marquardt, W. Chemical Engineering Research and Design 83(A6), 561–573, 2005) ...

Elsevier2012

A Globally Convergent Algorithm for the Run-to-Run Control of Systems with Sector Nonlinearities

Dominique Bonvin, Grégory François

Run-to-run control is a technique that exploits the repetitive nature of processes to iteratively adjust the inputs and drive the run-end outputs to their reference values. It can be used to control both static and finite-time dynamic systems. Although the ...

American Chemical Society2011