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Dominique Bonvin

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Publications associées (227)

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Numerical algorithm for feedback linearizable systems

Dominique Bonvin, Philippe Müllhaupt

A numerical algorithm that achieves asymptotic stability for feedback linearizable systems is presented. The nonlinear systems can be represented in various forms that include differential equations, simulated physical models or lookup tables. The proposed ...

American Institute of Physics2012

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

Dominique Bonvin, Colin Neil Jones, Timm Faulwasser, Tafarel de Avila Ferreira, Harsh Ambarishkumar Shukla

In the context of static real-time optimization, the use of measurements allows dealing with uncertainty in the form of plant-model mismatch and disturbances. Modifier adaptation (MA) is a measurement-based scheme that uses first-order corrections to the m ...

IEEE2018

Two-Layered Real-Time Optimization of a Solid Oxide Fuel Cell Stack

Dominique Bonvin, Grégory François, Gene Bunin

The optimal operation of a solid oxide fuel cell stack is addressed in this paper. Real-time optimization, performed at a slow time scale via constraint adaptation, is used to account for uncertainty and degradation eﬀects, while model-predictive control i ...

2010

Control and Optimization of Batch Processes

Dominique Bonvin

A batch process is characterized by the repetition of time-varying operations of finite duration. Due to the repetition, there are two independent “time” variables, namely, the run time during a batch and the batch counter. Accordingly, the control and opt ...

Springer Science+Business Media2015

Jet-Scheduling Control for SpiderCrane: Experimental Results

Dominique Bonvin, Philippe Müllhaupt, Christophe Salzmann, Davide Buccieri

SpiderCrane is a three-dimensional crane, whose main particularity lies in the absence of large inertial moving parts. This paper presents experimental results obtained with the novel jet-scheduling control methodology that is based on differential flatnes ...

2008

Run-to-run Optimization of Filamentous Fungal Fermentation

Dominique Bonvin, Levente Bodizs

Improving the productivity of fed-batch filamentous fungal fermentations can be formulated as a dynamic optimization problem. However, numerical optimization based on a nominal process model is typically insufficient when uncertainty in the form of model m ...

2005

Shape constrained splines as transparent black-box models for bioprocess modeling

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Empirical model identification for biological systems is a challenging task due to the combined effects of complex interactions, nonlinear effects, and lack of specific measurements. In this context, several researchers have provided tools for experimental ...

Elsevier2017

Parameter Identification to Enforce Practical Observability of Nonlinear Systems

Dominique Bonvin, Levente Bodizs

The sensitivity of the unmeasured state variables to the measurements strongly affects the rate of convergence of a state estimation algorithm. To overcome potential observability problems, the approach has been to identify the model parameters so as to re ...

2007

Extents of Reaction, Mass Transfer and Flow for Gas-Liquid Reaction Systems

Dominique Bonvin, Michael Amrhein, Nirav Pravinbhai Bhatt

For gas-liquid reaction systems with inlet and outlet streams, this paper proposes a linear transformation to decompose the numbers of moles vector into five distinct parts, namely, the extents of reaction, the extents of mass transfer, the extents of inle ...

2010

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

Scale-up of batch processes via decentralized control

Dominique Bonvin, Michael Amrhein, Benoît Chachuat, Alejandro Gabriel Marchetti

The economic environment in the specialty chemicals industry requires short times to market and thus the ability to develop new products and processes very rapidly. This, in turn, calls for large scale-ups from laboratory to production. Due to scale-relate ...

2006

Data Reconciliation of Concentration Estimates from Mid-Infrared and Dielectric Spectral Measurements for Improved On-Line Monitoring of Bioprocesses

Dominique Bonvin, Urs von Stockar, Ian William Marison, Michael Amrhein, Michal Dabros

Real-time data reconciliation of concentration estimates of process analytes and biomass in microbial fermentations is investigated. A Fourier-transform mid-infrared spectrometer predicting the concentrations of process metabolites is used in parallel with ...

2009

Active Directional Modifier Adaptation with Trust Region - Application to Energy-Harvesting Kites

Dominique Bonvin, Colin Neil Jones, Sanket Sanjay Diwale, Martand Singhal, Matthieu Jonin

Many real-time optimization schemes maximize process performance by performing a model-based optimization. However, due to plant-model mismatch, the model-based solution is often suboptimal. In modifier adaptation, measurements are used to correct the mode ...

IEEE2018

Real-Time Optimization of Wastewater Treatment Plants via Constraint Adaptation

Dominique Bonvin

An important requirement of wastewater treatment plants (WWTPs) is compliance with the local regulations on effluent discharge, which are going to become more stringent in the future. The operation of WWTPs exhibits a trade-off between operational cost and ...

MDPI2022

Measurement-Based Drift Correction in Spectroscopic Calibration Models

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

Correct prediction of analyte concentrations from a new spectrum without drift is possible provided the spectrum lies in the row space spanned by the calibration spectra (space-inclusion condition). However, this condition may be violated as on-line spectr ...

cemagref Languedoc Roussillon2008

On speeding-up modifier-adaptation schemes for real-time optimization

Dominique Bonvin

The real-time optimization scheme “modifier adaptation” (MA) has been developed to enforce steady-state plant optimality in the presence of model uncertainty. The key feature of MA is its ability to locally modify the model by adding bias and gradient corr ...

2024

A Dual Modifier-Adaptation Approach for Real-Time Optimization

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 plant-model mismatch problem. Unlike the two-step schemes combining parameter estimation and optimization, the modifier-adaptation approach does no ...

Elsevier2010

Fast RTO Applied to a Commercial SOFC System

Dominique Bonvin, Zacharie Wuillemin, Alejandro Gabriel Marchetti

The experimental implementation of real-time optimization (RTO) to a commercial solid-oxide fuel-cell (SOFC) system is reported in this paper. The goal of RTO is to maximize the system efficiency at steady state subject to several operating constraints. Th ...

ELSEVIER SCIENCE BV2019

Dynamic Optimization in the Presence of Uncertainty: From Off-Line Nominal Solution to Measurement-Based Implementation

Dominique Bonvin

2007

Partial least-squares regression with unlabeled data

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

It is well known that the prediction errors from principal component regression (PCR) and partial least-squares regression (PLSR) can be reduced by using both labeled and unlabeled data for stabilizing the latent subspaces in the calibration step. An appro ...

2009